DFT [20, 21, 22, 23] has emerged as an accurate, alternative firstprinciples approach to quantum mechanical molecular investigations. DFT calculations account for the overwhelming majority of all quantum chemistry calculations, not only because of its proven chemical accuracy, but also because of its relatively low computational expense, comparable to HartreeFock theory but with treatment of electron correlation that is neglected in a HF calculation. These two features suggest that DFT is likely to remain a leading method in the quantum chemist’s toolkit well into the future. QChem contains fast, efficient and accurate algorithms for all popular density functionals, making calculations on large molecules possible and practical.
DFT is primarily a theory of electronic ground state structures based on the electron density, , as opposed to the manyelectron wave function, . (It’s excitedstate extension, timedependent DFT, is discussed in Section 6.3.) There are a number of distinct similarities and differences between traditional wave function approaches and modern DFT methodologies. First, the essential building blocks of the manyelectron wave function are singleelectron orbitals, which are directly analogous to the KohnSham orbitals in the DFT framework. Second, both the electron density and the manyelectron wave function tend to be constructed via a SCF approach that requires the construction of matrix elements that are conveniently very similar.
However, traditional ab initio approaches using the manyelectron wave function as a foundation must resort to a postSCF calculation (Chapter 5) to incorporate correlation effects, whereas DFT approaches incorporate correlation at the SCF level. PostSCF methods, such as perturbation theory or coupledcluster theory are extremely expensive relative to the SCF procedure. On the other hand, while the DFT approach is exact in principle, in practice it relies on modeling an unknown exchangecorrelation energy functional. While more accurate forms of such functionals are constantly being developed, there is no systematic way to improve the functional to achieve an arbitrary level of accuracy. Thus, the traditional approaches offer the possibility of achieving a systematicallyimprovable level of accuracy, but can be computationally demanding, whereas DFT approaches offer a practical route, but the theory is currently incomplete.
The density functional theory by Hohenberg, Kohn, and Sham [24, 25] stems from the original work of Dirac [26], who found that the exchange energy of a uniform electron gas may be calculated exactly, knowing only the charge density. However, while the more traditional DFT constitutes a direct approach where the necessary equations contain only the electron density, difficulties associated with the kinetic energy functional obstructed the extension of DFT to anything more than a crude level of approximation. Kohn and Sham developed an indirect approach to the kinetic energy functional, which transformed DFT into a practical tool for quantumchemical calculations.
Within the KohnSham formalism [25], the ground state electronic energy, , can be written as
(4.34) 
where is the kinetic energy, is the electron–nuclear interaction energy, is the Coulomb selfinteraction of the electron density, and is the exchangecorrelation energy. Adopting an unrestricted format, the and total electron densities can be written as
(4.35) 
where and are the number of alpha and beta electron respectively, and are the KohnSham orbitals. Thus, the total electron density is
(4.38) 
Within a finite basis set [27], the density is represented by
(4.39) 
where the are the elements of the oneelectron density matrix; see Eq. eq:P(mu,nu) in the discussion of HartreeFock theory. The various energy components in Eq. eq:DFT_energy_components can now be written
(4.40)  
(4.41)  
(4.42)  
(4.43) 
Minimizing with respect to the unknown KohnSham orbital coefficients yields a set of matrix equations exactly analogous to PopleNesbet equations of the UHF case, Eq. eq:PopleNesbet, but with modified Fock matrix elements [cf. Eq. eq:F(mu,nu)]
(4.44) 
Here, and are the exchangecorrelation parts of the Fock matrices and depend on the exchangecorrelation functional used. UHF theory is recovered as a special case simply by taking , and similarly for . Thus, the density and energy are obtained in a manner analogous to that for the HF method. Initial guesses are made for the MO coefficients and an iterative process is applied until selfconsistency is achieved.
QChem currently has more than 30 exchange functionals as well as more than 30 correlation functionals, and in addition over 150 exchangecorrelation (XC) functionals, which refer to functionals that are not separated into exchange and correlation parts, either because the way in which they were parameterized renders such a separation meaningless (e.g., B97D[28] or B97X[29]) or because they are a standard linear combination of exchange and correlation (e.g., PBE[30] or B3LYP[31, 32]). Userdefined XC functionals can be created as specified linear combinations of any of the 30+ exchange functionals and/or the 30+ correlation functionals.
KSDFT functionals can be organized onto a ladder with five rungs, in a classification scheme (“Jacob’s Ladder”) proposed by John Perdew[33] in 2001. The first rung contains a functional that only depends on the (spin)density , namely, the local spindensity approximation (LSDA). These functionals are exact for the infinite uniform electron gas (UEG), but are highly inaccurate for molecular properties whose densities exhibit significant inhomogeneity. To improve upon the weaknesses of the LSDA, it is necessary to introduce an ingredient that can account for inhomogeneities in the density: the density gradient, . These generalized gradient approximation (GGA) functionals define the second rung of Jacob’s Ladder and tend to improve significantly upon the LSDA. Two additional ingredients that can be used to further improve the performance of GGA functionals are either the Laplacian of the density , and/or the kinetic energy density,
(4.47) 
While functionals that employ both of these options are available in QChem, the kinetic energy density is by far the more popular ingredient and has been used in many modern functionals to add flexibility to the functional form with respect to both constraint satisfaction (nonempirical functionals) and leastsquares fitting (semiempirical parameterization). Functionals that depend on either of these two ingredients belong to the third rung of the Jacob’s Ladder and are called metaGGAs. These metaGGAs often further improve upon GGAs in areas such as thermochemistry, kinetics (reaction barrier heights), and even noncovalent interactions.
Functionals on the fourth rung of Jacob’s Ladder are called hybrid density functionals. This rung contains arguably the most popular density functional of our time, B3LYP, the first functional to see widespread application in chemistry. “Global” hybrid (GH) functionals such as B3LYP (as distinguished from the “rangeseparated hybrids" introduced below) add a constant fraction of “exact” (HartreeFock) exchange to any of the functionals from the first three rungs. Thus, hybrid LSDA, hybrid GGA, and hybrid metaGGA functionals can be constructed, although the latter two types are much more common. As an example, the formula for the B3LYP functional, as implemented in QChem, is
(4.48) 
where , , and .
A more recent approach to introducing exact exchange into the functional form is via range separation. Rangeseparated hybrid (RSH) functionals split the exact exchange contribution into a shortrange (SR) component and a longrange (LR) component, often by means of the error function (erf) and complementary error function ():
(4.49) 
The first term on the right in Eq. () is singular but shortrange, and decays to zero on a length scale of , while the second term constitutes a nonsingular, longrange background. An RSH XC functional can be expressed generically as
(4.50) 
where the SR and LR parts of the Coulomb operator are used, respectively, to evaluate the HF exchange energies and . The corresponding DFT exchange functional is partitioned in the same manner, but the correlation energy is evaluated using the full Coulomb operator, . Of the two linear parameters in Eq. eq:RSHGGA, is usually either set to 1 to define longrange corrected (LRC) RSH functionals (see Section 4.4.6) or else set to 0, which defines screenedexchange (SE) RSH functionals. On the other hand, the fraction of shortrange exact exchange () can either be determined via leastsquares fitting, theoretically justified using the adiabatic connection, or simply set to zero. As with the global hybrids, RSH functionals can be fashioned using all of the ingredients from the lower three rungs. The rate at which the local DFT exchange is turned off and the nonlocal exact exchange is turned on is controlled by the parameter . Large values of tend to lead to attenuators that are less smooth (unless the fraction of shortrange exact exchange is very large), while small values of (e.g., 0.2–0.3 bohr) are the most common in semiempirical RSH functionals.
The final rung on Jacob’s Ladder contains functionals that utilize not only occupied orbitals (via exact exchange), but virtual orbitals as well (via methods such as MP2 or the random phase approximation, RPA). These double hybrids (DH) are the most expensive density functionals available in QChem, but can also be very accurate. The most basic form of a DH functional is
(4.51) 
As with hybrids, the coefficients can either be theoretically motivated or empirically determined. In addition, double hybrids can utilize exact exchange both globally or via rangeseparation, and their components can be as primitive as LSDA or as advanced as in metaGGA functionals. More information on double hybrids can be found in Section 4.4.8.
Finally, the last major advance in KSDFT in recent years has been the development of methods that are capable of accurately describing noncovalent interactions, particularly dispersion. All of the functionals from Jacob’s Ladder can technically be combined with these dispersion corrections, although in some cases the combination is detrimental, particularly for semiempirical functionals that were parameterized in part using data sets of noncovalent interactions, and already tend to overestimate noncovalent interaction energies. The most popular such methods available in QChem are:
Nonlocal correlation (NLC) functionals (Section 4.4.7.1), including those of Vydrov and Van Voorhis[34, 35] (VV09 and VV10) and of Lundqvist and Langreth[36, 37] (vdWDF04 and vdWDF10). The revised VV10 NLC functional of Sabatini and coworkers (rVV10) is also available[38].
Damped, atom–atom pairwise empirical dispersion potentials from Grimme and others[28, 39, 40, 41, 42, 43] [DFTD2, DFTCHG, DFTD3(0), DFTD3(BJ), DFTD3(CSO), DFTD3M(0), DFTD3M(BJ), and DFTD3(op)]; see Section 4.4.7.2.
The exchangedipole models (XDM) of Johnson and Becke (XDM6 and XDM10); see Section 4.4.7.3.
Below, we categorize the functionals that are available in QChem, including exchange functionals (Section 4.4.3.2), correlation functionals (Section 4.4.3.3), and exchangecorrelation functionals (Section 4.4.3.4). Within each category the functionals will be categorized according to Jacob’s Ladder. Exchange and correlation functionals can be invoked using the $rem variables EXCHANGE and CORRELATION, while the exchangecorrelation functionals can be invoked either by setting the $rem variable METHOD or alternatively (in most cases, and for backwards compatibility with earlier versions of QChem) by using the $rem variable EXCHANGE. Some caution is warranted here. While setting METHOD to PBE, for example, requests the PerdewBurkeErnzerhof (PBE) exchangecorrelation functional,[30] which includes both PBE exchange and PBE correlation, setting EXCHANGE = PBE requests only the exchange component and setting CORRELATION = PBE requests only the correlation component. Setting both of these values is equivalent to specifying METHOD = PBE.
SinglePoint 
Optimization 
Frequency 

Ground State 
LSDA 
LSDA 
LSDA 
GGA 
GGA 
GGA 

metaGGA 
metaGGA 
— 

GH 
GH 
GH 

RSH 
RSH 
RSH 

NLC 
NLC 
— 

DFTD 
DFTD 
DFTD 

XDM 
— 
— 

TDDFT 
LSDA 
LSDA 
LSDA 
GGA 
GGA 
GGA 

metaGGA 
— 
— 

GH 
GH 
GH 

RSH 
RSH 
— 

— 
— 
— 

DFTD 
DFTD 
DFTD 

— 
— 
— 

OpenMP parallelization available 

MPI parallelization available 
Finally, Table 4.2 provides a summary, arranged according to Jacob’s Ladder, of which categories of functionals are available with analytic first derivatives (for geometry optimizations) or second derivatives (for vibrational frequency calculations). If analytic derivatives are not available for the requested job type, QChem will automatically generate them via finite difference. Tests of the finitedifference procedure, in cases where analytic second derivatives are available, suggest that finitedifference frequencies are accurate to cm, except for very lowfrequency, nonbonded modes [44]. Also listed in Table 4.2 are which functionals are available for excitedstate timedependent DFT (TDDFT) calculations, as described in Section 6.3. Lastly, Table 4.2 describes which functionals have been parallelized with OpenMP and/or MPI.
QChem contains over 150 exchangecorrelation functionals, not counting those that can be straightforwardly appended with a dispersion correction (such as B3LYPD3). Therefore, we suggest a few functionals from the second through fourth rungs of Jacob’s Ladder in order to guide functional selection. Most of these suggestions come from a benchmark of over 200 density functionals on a vast database of nearly 5000 data points, covering noncovalent interactions, isomerization energies, thermochemistry, and barrier heights. The single recommended method from each category is indicated in bold.
From the GGAs on Rung 2, we recommend:
B97D3(BJ) – METHOD B97D3 and DFT_D D3_BJ
revPBED3(BJ) – METHOD revPBE and DFT_D D3_BJ
BLYPD3(BJ) – METHOD BLYP and DFT_D D3_BJ
PBE – METHOD PBE
From the metaGGAs on Rung 3, we recommend:
B97MrV – METHOD B97MrV
MS1D3(0) – METHOD MS1 and DFT_D D3_ZERO
MS2D3(0) – METHOD MS2 and DFT_D D3_ZERO
M06LD3(0) – METHOD M06L and DFT_D D3_ZERO
TPSSD3(BJ) – METHOD TPSS and DFT_D D3_BJ
From the hybrid GGAs on Rung 4, we recommend:
B97XV – METHOD wB97XV
B97XD3 – METHOD wB97XD3
B97XD – METHOD wB97XD
B3LYPD3(BJ) – METHOD B3LYP and DFT_D D3_BJ
revPBE0D3(BJ) – METHOD revPBE0 and DFT_D D3_BJ
From the hybrid metaGGAs on Rung 4, we recommend:
B97MV – METHOD wB97MV
M05D – METHOD wM05D
M062XD3(0) – METHOD M062X and DFT_D D3_ZERO
TPSShD3(BJ) – METHOD TPSSh and DFT_D D3_BJ
Note: All exchange functionals in this section can be invoked using the $rem variable EXCHANGE. Popular and/or recommended functionals within each class are listed first and indicated in bold. The rest are in alphabetical order.
Local SpinDensity Approximation (LSDA)
Slater – SlaterDirac exchange functional (X method with )[26]
SR_LSDA (BNL) – Shortrange version of the SlaterDirac exchange functional[45]
Generalized Gradient Approximation (GGA)
PBE – Perdew, Burke, and Ernzerhof exchange functional[30]
B88 – Becke exchange functional from 1988[46]
revPBE – Zhang and Yang oneparameter modification of the PBE exchange functional[47]
AK13 – ArmientoKümmel exchange functional from 2013[48]
B86 – Becke exchange functional (X) from 1986[49]
G96 – Gill exchange functional from 1996[50]
mB86 – Becke “modified gradient correction” exchange functional from 1986[51]
mPW91 – modified version (Adamo and Barone) of the 1991 PerdewWang exchange functional[52]
muB88 (B88) – Shortrange version of the B88 exchange functional by Hirao and coworkers[53]
muPBE (PBE) – Shortrange version of the PBE exchange functional by Hirao and coworkers[53]
optB88 – Refit version of the original B88 exchange functional (for use with vdWDF04) by Michaelides and coworkers[54]
OPTX – Twoparameter exchange functional by Handy and Cohen[55]
PBEsol – PBE exchange functional modified for solids[56]
PW86 – PerdewWang exchange functional from 1986[57]
PW91 – PerdewWang exchange functional from 1991[58]
RPBE – Hammer, Hansen, and Norskov exchange functional (modification of PBE)[59]
rPW86 – Revised version (Murray et al.) of the 1986 PerdewWang exchange functional[60]
SOGGA – Secondorder GGA functional by Zhao and Truhlar[61]
wPBE (PBE) – Henderson et al. model for the PBE GGA shortrange exchange hole[62]
MetaGeneralized Gradient Approximation (metaGGA)
TPSS – Tao, Perdew, Staroverov, and Scuseria exchange functional[63]
revTPSS – Revised version of the TPSS exchange functional[64]
BLOC – Minor modification of the TPSS exchange functional that works best with TPSSloc correlation (both by Della Sala and coworkers)[65]
modTPSS – Oneparameter version of the TPSS exchange functional[66]
oTPSS – TPSS exchange functional with 5 refit parameters (for use with oTPSS correlation) by Grimme and coworkers[67]
PBEGX – First exchange functional based on a finite uniform electron gas (rather than an infinite UEG) by PierreFrançois Loos[68]
PKZB – Perdew, Kurth, Zupan, and Blaha exchange functional[69]
regTPSS – Regularized (fixed order of limits issue) version of the TPSS exchange functional[70]
SCAN – Strongly Constrained and Appropriately Normed exchange functional[71]
TM – TaoMo exchange functional derived via an accurate modeling of the conventional exchange hole[72]
Note: All correlation functionals in this section can be invoked using the $rem variable CORRELATION. Popular and/or recommended functionals within each class are listed first and indicated in bold. The rest are in alphabetical order.
Local SpinDensity Approximation (LSDA)
PW92 – PerdewWang parameterization of the LSDA correlation energy from 1992[73]
VWN5 (VWN) – VoskoWilkNusair parameterization of the LSDA correlation energy #5[74]
LiuParr – LiuParr model from the functional expansion formulation[75]
PK09 – ProynovKong parameterization of the LSDA correlation energy from 2009[76]
PW92RPA – PerdewWang parameterization of the LSDA correlation energy from 1992 with RPA values[73]
PZ81 – PerdewZunger parameterization of the LSDA correlation energy from 1981[77]
VWN1 – VoskoWilkNusair parameterization of the LSDA correlation energy #1[74]
VWN1RPA – VoskoWilkNusair parameterization of the LSDA correlation energy #1 with RPA values[74]
VWN2 – VoskoWilkNusair parameterization of the LSDA correlation energy #2[74]
VWN3 – VoskoWilkNusair parameterization of the LSDA correlation energy #3[74]
VWN4 – VoskoWilkNusair parameterization of the LSDA correlation energy #4[74]
Wigner – Wigner correlation functional (simplification of LYP)[78, 79]
Generalized Gradient Approximation (GGA)
PBE – Perdew, Burke, and Ernzerhof correlation functional[30]
LYP – LeeYangParr oppositespin correlation functional[80]
P86 – PerdewWang correlation functional from 1986 based on the PZ81 LSDA functional[81]
P86VWN5 – PerdewWang correlation functional from 1986 based on the VWN5 LSDA functional[81]
PBEloc – PBE correlation functional with a modified beta term by Della Sala and coworkers[82]
PBEsol – PBE correlation functional modified for solids[56]
PW91 – PerdewWang correlation functional from 1991[58]
regTPSS – Slight modification of the PBE correlation functional (also called vPBEc)[70]
MetaGeneralized Gradient Approximation (metaGGA)
TPSS – Tao, Perdew, Staroverov, and Scuseria correlation functional[63]
revTPSS – Revised version of the TPSS correlation functional[64]
B95 – Becke’s twoparameter correlation functional from 1995[83]
oTPSS – TPSS correlation functional with 2 refit parameters (for use with oTPSS exchange) by Grimme and coworkers[67]
PK06 – ProynovKong “tLap” functional with and Laplacian dependence[84]
PKZB – Perdew, Kurth, Zupan, and Blaha correlation functional[69]
SCAN – Strongly Constrained and Appropriately Normed correlation functional[71]
TM – TaoMo correlation functional, representing a minor modification to the TPSS correlation functional[72]
TPSSloc – The TPSS correlation functional with the PBE component replaced by the PBEloc correlation functional[82]
Note: All exchangecorrelation functionals in this section can be invoked using the $rem variable METHOD. For backwards compatibility, all of the exchangecorrelation functionals except for the ones marked with an asterisk can be utilized with the $rem variable EXCHANGE. Popular and/or recommended functionals within each class are listed first and indicated in bold. The rest are in alphabetical order.
Local SpinDensity Approximation (LSDA)
SPW92* – Slater LSDA exchange + PW92 LSDA correlation
LDA – Slater LSDA exchange + VWN5 LSDA correlation
SVWN5* – Slater LSDA exchange + VWN5 LSDA correlation
Generalized Gradient Approximation (GGA)
B97D3(0) – B97D with a fitted DFTD3(0) tail instead of the original DFTD2 tail[40]
B97D – 9parameter dispersioncorrected (DFTD2) functional by Grimme[28]
PBE* – PBE GGA exchange + PBE GGA correlation
BLYP* – B88 GGA exchange + LYP GGA correlation
revPBE* – revPBE GGA exchange + PBE GGA correlation
BEEFvdW – 31parameter semiempirical exchange functional developed via a Bayesian error estimation framework paired with PBE correlation and vdWDF10 NLC[85]
BOP – B88 GGA exchange + BOP “oneparameter progressive” GGA correlation[86]
BP86* – B88 GGA exchange + P86 GGA correlation
BP86VWN* – B88 GGA exchange + P86VWN5 GGA correlation
BPBE* – B88 GGA exchange + PBE GGA correlation
EDF1 – Modification of BLYP to give good performance in the 631+G* basis set[87]
EDF2 – Modification of B3LYP to give good performance in the ccpVTZ basis set for frequencies[88]
GAM – 21parameter nonseparable gradient approximation functional by Truhlar and coworkers[89]
HCTH93 (HCTH/93) – 15parameter functional trained on 93 systems by Handy and coworkers[90]
HCTH120 (HCTH/120) – 15parameter functional trained on 120 systems by Boese et al.[91]
HCTH147 (HCTH/147) – 15parameter functional trained on 147 systems by Boese et al.[91]
HCTH407 (HCTH/407) – 15parameter functional trained on 407 systems by Boese and Handy[92]
HLE16 – HCTH/407 exchange functional enhanced by a factor of 1.25 + HCTH/407 correlation functional enhanced by a factor of 0.5[93]
KT1 – GGA functional designed specifically for shielding constant calculations[94]
KT2 – GGA functional designed specifically for shielding constant calculations[94]
KT3 – GGA functional with improved results for maingroup nuclear magnetic resonance shielding constants[95]
mPW91* – mPW91 GGA exchange + PW91 GGA correlation
N12 – 21parameter nonseparable gradient approximation functional by Peverati and Truhlar[96]
OLYP* – OPTX GGA exchange + LYP GGA correlation
PBEOP – PBE GGA exchange + PBEOP “oneparameter progressive” GGA correlation[86]
PBEsol* – PBEsol GGA exchange + PBEsol GGA correlation
PW91* – PW91 GGA exchange + PW91 GGA correlation
RPBE* – RPBE GGA exchange + PBE GGA correlation
rVV10* – rPW86 GGA exchange + PBE GGA correlation + rVV10 nonlocal correlation[38]
SOGGA* – SOGGA GGA exchange + PBE GGA correlation
SOGGA11 – 20parameter functional by Peverati, Zhao, and Truhlar[97]
VV10 – rPW86 GGA exchange + PBE GGA correlation + VV10 nonlocal correlation[35]
MetaGeneralized Gradient Approximation (metaGGA)
B97MV – 12parameter combinatoriallyoptimized, dispersioncorrected (VV10) functional by Mardirossian and HeadGordon[98]
B97MrV* – B97MV density functional with the VV10 NLC functional replaced by the rVV10 NLC functional[99]
M06L – 34parameter functional by Zhao and Truhlar[100]
TPSS* – TPSS metaGGA exchange + TPSS metaGGA correlation
revTPSS* – revTPSS metaGGA exchange + revTPSS metaGGA correlation
BLOC* – BLOC metaGGA exchange + TPSSloc metaGGA correlation
M11L – 44parameter dualrange functional by Peverati and Truhlar[101]
mBEEF – 64parameter exchange functional paired with the PBEsol correlation functional[102]
MGGA_MS0 – MGGA_MS0 metaGGA exchange + regTPSS GGA correlation[103]
MGGA_MS1 – MGGA_MS1 metaGGA exchange + regTPSS GGA correlation[104]
MGGA_MS2 – MGGA_MS2 metaGGA exchange + regTPSS GGA correlation[104]
MGGA_MVS – MGGA_MVS metaGGA exchange + regTPSS GGA correlation[105]
MN12L – 58parameter metanonseparable gradient approximation functional by Peverati and Truhlar[106]
MN15L – 58parameter metanonseparable gradient approximation functional by Yu, He, and Truhlar[107]
oTPSS* – oTPSS metaGGA exchange + oTPSS metaGGA correlation
PKZB* – PKZB metaGGA exchange + PKZB metaGGA correlation
SCAN* – SCAN metaGGA exchange + SCAN metaGGA correlation
tHCTH (HCTH) – 16parameter functional by Boese and Handy[108]
TM* – TM metaGGA exchange + TM metaGGA correlation[72]
VSXC – 21parameter functional by Voorhis and Scuseria[109]
Global Hybrid Generalized Gradient Approximation (GH GGA)
B3LYP – 20% HF exchange + 8% Slater LSDA exchange + 72% B88 GGA exchange + 19% VWN1RPA LSDA correlation + 81% LYP GGA correlation[31, 32]
PBE0 – 25% HF exchange + 75% PBE GGA exchange + PBE GGA correlation[110]
revPBE0 – 25% HF exchange + 75% revPBE GGA exchange + PBE GGA correlation
B97 – Becke’s original 10parameter density functional with 19.43% HF exchange[111]
B1LYP – 25% HF exchange + 75% B88 GGA exchange + LYP GGA correlation[112]
B1PW91 – 25% HF exchange + 75% B88 GGA exchange + PW91 GGA correlation[112]
B3LYP5 – 20% HF exchange + 8% Slater LSDA exchange + 72% B88 GGA exchange + 19% VWN5 LSDA correlation + 81% LYP GGA correlation[31, 32]
B3P86 – 20% HF exchange + 8% Slater LSDA exchange + 72% B88 GGA exchange+ 19% VWN1RPA LSDA correlation + 81% P86 GGA correlation
B1LYP – 25% HF exchange + 75% B88 GGA exchange + LYP GGA correlation[112]
B1PW91 – 25% HF exchange + 75% B88 GGA exchange + PW91 GGA correlation[112]
B3LYP5 – 20% HF exchange + 8% Slater LSDA exchange + 72% B88 GGA exchange + 19% VWN5 LSDA correlation + 81% LYP GGA correlation[31, 32]
B3P86 – 20% HF exchange + 8% Slater LSDA exchange + 72% B88 GGA exchange+ 19% VWN1RPA LSDA correlation + 81% P86 GGA correlation
B3PW91 – 20% HF exchange + 8% Slater LSDA exchange + 72% B88 GGA exchange+ 19% PW92 LSDA correlation + 81% PW91 GGA correlation[31]
B5050LYP – 50% HF exchange + 8% Slater LSDA exchange + 42% B88 GGA exchange + 19% VWN5 LSDA correlation + 81% LYP GGA correlation[113]
B971 – Selfconsistent parameterization of Becke’s B97 density functional with 21% HF exchange[90]
B972 – Reparameterization of B97 by Tozer and coworkers with 21% HF exchange[114]
B973 – 16parameter version of B97 by Keal and Tozer with 26.93% HF exchange[115]
B97K – Reparameterization of B97 for kinetics by Boese and Martin with 42% HF exchange[116]
BHHLYP – 50% HF exchange + 50% B88 GGA exchange + LYP GGA correlation
HFLYP* – 100% HF exchange + LYP GGA correlation
MPW1K – 42.8% HF exchange + 57.2% mPW91 GGA exchange + PW91 GGA correlation[117]
MPW1LYP – 25% HF exchange + 75% mPW91 GGA exchange + LYP GGA correlation[52]
MPW1PBE – 25% HF exchange + 75% mPW91 GGA exchange + PBE GGA correlation[52]
MPW1PW91 – 25% HF exchange + 75% mPW91 GGA exchange + PW91 GGA correlation[52]
O3LYP – 11.61% HF exchange + 7.1% Slater LSDA exchange + 81.33% OPTX GGA exchange + 19% VWN5 LSDA correlation + 81% LYP GGA correlation[118]
PBEh3c – Lowcost composite scheme of Grimme and coworkers for use with the def2mSVP basis set only[119]
PBE50 – 50% HF exchange + 50% PBE GGA exchange + PBE GGA correlation[120]
SOGGA11X – 21parameter functional with 40.15% HF exchange by Peverati and Truhlar[121]
WC04 – Hybrid density functional optimized for the computation of C chemical shifts[122]
WP04 – Hybrid density functional optimized for the computation of H chemical shifts[122]
X3LYP – 21.8% HF exchange + 7.3% Slater LSDA exchange + 54.24% B88 GGA exchange + 16.66% PW91 GGA exchange + 12.9% VWN1RPA LSDA correlation + 87.1% LYP GGA correlation[123]
Global Hybrid MetaGeneralized Gradient Approximation (GH metaGGA)
M062X – 29parameter functional with 54% HF exchange by Zhao and Truhlar[124]
M08HX – 47parameter functional with 52.23% HF exchange by Zhao and Truhlar[125]
TPSSh – 10% HF exchange + 90% TPSS metaGGA exchange + TPSS metaGGA correlation[126]
revTPSSh – 10% HF exchange + 90% revTPSS metaGGA exchange + revTPSS metaGGA correlation[127]
B1B95 – 28% HF exchange + 72% B88 GGA exchange + B95 metaGGA correlation[83]
B3TLAP – 17.13% HF exchange + 9.66% Slater LSDA exchange + 72.6% B88 GGA exchange + PK06 metaGGA correlation[84, 128]
BB1K – 42% HF exchange + 58% B88 GGA exchange + B95 metaGGA correlation[129]
BMK – BoeseMartin functional for kinetics with 42% HF exchange[116]
dlDF – Dispersionless density functional (based on the M052X functional form) by Szalewicz and coworkers[130]
M05 – 22parameter functional with 28% HF exchange by Zhao, Schultz, and Truhlar[131]
M052X – 19parameter functional with 56% HF exchange by Zhao, Schultz, and Truhlar[132]
M06 – 33parameter functional with 27% HF exchange by Zhao and Truhlar[124]
M06HF – 32parameter functional with 100% HF exchange by Zhao and Truhlar[133]
M08SO – 44parameter functional with 56.79% HF exchange by Zhao and Truhlar[125]
MGGA_MS2h – 9% HF exchange + 91 % MGGA_MS2 metaGGA exchange + regTPSS GGA correlation[104]
MGGA_MVSh – 25% HF exchange + 75 % MGGA_MVS metaGGA exchange + regTPSS GGA correlation[105]
MN15 – 59parameter functional with 44% HF exchange by Truhlar and coworkers[134]
MPW1B95 – 31% HF exchange + 69% mPW91 GGA exchange + B95 metaGGA correlation[135]
MPWB1K – 44% HF exchange + 56% mPW91 GGA exchange + B95 metaGGA correlation[135]
PW6B95 – 6parameter combination of 28 % HF exchange, 72 % optimized PW91 GGA exchange, and reoptimized B95 metaGGA correlation by Zhao and Truhlar[136]
PWB6K – 6parameter combination of 46 % HF exchange, 54 % optimized PW91 GGA exchange, and reoptimized B95 metaGGA correlation by Zhao and Truhlar[136]
SCAN0 – 25% HF exchange + 75% SCAN metaGGA exchange + SCAN metaGGA correlation[137]
tHCTHh (HCTHh) – 17parameter functional with 15% HF exchange by Boese and Handy[108]
TPSS0 – 25% HF exchange + 75% TPSS metaGGA exchange + TPSS metaGGA correlation[138]
RangeSeparated Hybrid Generalized Gradient Approximation (RSH GGA)
wB97XV (B97XV) – 10parameter combinatoriallyoptimized, dispersioncorrected (VV10) functional with 16.7% SR HF exchange, 100% LR HF exchange, and [139]
wB97XD3 (B97XD3) – 16parameter dispersioncorrected (DFTD3(0)) functional with 19.57% SR HF exchange, 100% LR HF exchange, and [140]
wB97XD (B97XD) – 15parameter dispersioncorrected (DFTCHG) functional with 22.2% SR HF exchange, 100% LR HF exchange, and [39]
CAMB3LYP – Coulombattenuating method functional by Handy and coworkers[141]
CAMQTP00 – Reparameterized CAMB3LYP designed to satisfy the IPtheorem for all occupied orbitals of the water molecule[142]
CAMQTP01 – Reparameterized CAMB3LYP optimized to satisfy the valence IPs of the water molecule, 34 excitation states, and G21 atomization energies[143]
HSEHJS – Screenedexchange “HSE06” functional with 25% SR HF exchange, 0% LR HF exchange, and =0.11, using the updated HJS PBE exchange hole model[144, 62]
LCrVV10* – LCVV10 density functional with the VV10 NLC functional replaced by the rVV10 NLC functional[99]
LCVV10 – 0% SR HF exchange + 100% LR HF exchange + PBE GGA exchange + PBE GGA correlation + VV10 nonlocal correlation (=0.45)[35]
LCwPBE08 (LCPBE08) – 0% SR HF exchange + 100% LR HF exchange + PBE GGA exchange + PBE GGA correlation (=0.45)[145]
LRCBOP (LRCBOP)– 0% SR HF exchange + 100% LR HF exchange + muB88 GGA exchange + BOP GGA correlation (=0.47)[146]
LRCwPBE (LRCPBE) – 0% SR HF exchange + 100% LR HF exchange + PBE GGA exchange + PBE GGA correlation (=0.3)[147]
LRCwPBEh (LRCPBEh) – 20% SR HF exchange + 100% LR HF exchange + 80% PBE GGA exchange + PBE GGA correlation (=0.2)[148]
N12SX – 26parameter nonseparable GGA with 25% SR HF exchange, 0% LR HF exchange, and [149]
rCAMB3LYP – Refit CAMB3LYP with the goal of minimizing manyelectron selfinteraction error[150]
wB97 (B97) – 13parameter functional with 0% SR HF exchange, 100% LR HF exchange, and [29]
wB97X (B97X) – 14parameter functional with 15.77% SR HF exchange, 100% LR HF exchange, and [29]
wB97XrV* (B97XrV) – B97XV density functional with the VV10 NLC functional replaced by the rVV10 NLC functional[99]
RangeSeparated Hybrid MetaGeneralized Gradient Approximation (RSH metaGGA)
wB97MV (B97MV) – 12parameter combinatoriallyoptimized, dispersioncorrected (VV10) functional with 15% SR HF exchange, 100% LR HF exchange, and [151]
M11 – 40parameter functional with 42.8% SR HF exchange, 100% LR HF exchange, and [152]
MN12SX – 58parameter nonseparable metaGGA with 25% SR HF exchange, 0% LR HF exchange, and [149]
wB97MrV* (B97XrV) – B97MV density functional with the VV10 NLC functional replaced by the rVV10 NLC functional[99]
wM05D (M05D) – 21parameter dispersioncorrected (DFTCHG) functional with 36.96% SR HF exchange, 100% LR HF exchange, and [153]
wM06D3 (M06D3) – 25parameter dispersioncorrected [DFTD3(0)] functional with 27.15% SR HF exchange, 100% LR HF exchange, and [140]
Double Hybrid Generalized Gradient Approximation (DH GGA)
Note: In order to use the resolutionoftheidentity approximation for the MP2 component, specify an auxiliary basis set with the $rem variable AUX_BASIS
DSDPBEPBED3 – 68% HF exchange + 32% PBE GGA exchange + 49% PBE GGA correlation + 13% SS MP2 correlation + 55% OS MP2 correlation with DFTD3(BJ) tail[154]
wB97X2(LP) (B97X2(LP)) – 13parameter functional with 67.88% SR HF exchange, 100% LR HF exchange, 58.16% SS MP2 correlation, 47.80% OS MP2 correlation, and [155]
wB97X2(TQZ) (B97X2(TQZ)) – 13parameter functional with 63.62% SR HF exchange, 100% LR HF exchange, 52.93% SS MP2 correlation, 44.71% OS MP2 correlation, and [155]
XYG3 – 80.33% HF exchange  1.4% Slater LSDA exchange + 21.07% B88 GGA exchange + 67.89% LYP GGA correlation + 32.11% MP2 correlation (evaluated with B3LYP orbitals)[156]
XYGJOS – 77.31% HF exchange + 22.69% Slater LSDA exchange + 23.09% VWN1RPA LSDA correlation + 27.54% LYP GGA correlation + 43.64% OS MP2 correlation (evaluated with B3LYP orbitals)[157]
B2PLYP – 53% HF exchange + 47% B88 GGA exchange + 73% LYP GGA correlation + 27% MP2 correlation[158]
B2GPPLYP – 65% HF exchange + 35% B88 GGA exchange + 64% LYP GGA correlation + 36% MP2 correlation[159]
DSDPBEP86D3 – 69% HF exchange + 31% PBE GGA exchange + 44% P86 GGA correlation + 22% SS MP2 correlation + 52% OS MP2 correlation with DFTD3(BJ) tail[154]
LS1DHPBE – 75% HF exchange + 25% PBE GGA exchange + 57.8125% PBE GGA correlation + 42.1875% MP2 correlation[160]
PBEQIDH – 69.3361% HF exchange + 30.6639% PBE GGA exchange + 66.6667% PBE GGA correlation + 33.3333% MP2 correlation[161]
PBE02 – 79.37% HF exchange + 20.63% PBE GGA exchange + 50% PBE GGA correlation + 50% MP2 correlation[162]
PBE0DH – 50% HF exchange + 50% PBE GGA exchange + 87.5% PBE GGA correlation + 12.5% MP2 correlation[163]
Double Hybrid MetaGeneralized Gradient Approximation (DH MGGA)
PTPSSD3 – 50% HF exchange + 50% ReFit TPSS metaGGA exchange + 62.5% ReFit TPSS metaGGA correlation + 37.5% OS MP2 correlation with DFTD3(0) tail[164]
DSDPBEB95D3 – 66% HF exchange + 34% PBE GGA exchange + 55% B95 GGA correlation + 9% SS MP2 correlation + 46% OS MP2 correlation with DFTD3(BJ) tail[154]
PWPB95D3 – 50% HF exchange + 50% ReFit PW91 GGA exchange + 73.1% ReFit B95 metaGGA correlation + 26.9% OS MP2 correlation with DFTD3(0) tail[164]
SRC1R1 – TDDFT shortrange corrected functional (Equation 1 in Ref. Besley:2009a, 1st row atoms)
SRC1R2 – TDDFT shortrange corrected functional (Equation 1 in Ref. Besley:2009a, 2nd row atoms)
SRC2R1 – TDDFT shortrange corrected functional (Equation 2 in Ref. Besley:2009a, 1st row atoms)
SRC2R2 – TDDFT shortrange corrected functional (Equation 2 in Ref. Besley:2009a, 2nd row atoms)
BR89 – BeckeRoussel metaGGA exchange functional modeled after the hydrogen atom[166]
B94 – metaGGA correlation functional by Becke that utilizes the BR89 exchange functional to compute the Coulomb potential[167]
B94hyb – modified version of the B94 correlation functional for use with the BR89B94hyb exchangecorrelation functional[167]
BR89B94h – 15.4% HF exchange + 84.6% BR89 metaGGA exchange + BR89hyb metaGGA correlation[167]
BRSC – Exchange component of the original B05 exchangecorrelation functional[168]
MB05 – Exchange component of the modified B05 (BM05) exchangecorrelation functional[169]
B05 – A full exactexchange KohnSham scheme of Becke that uses the exactexchange energy density (RI) and accounts for static correlation[168, 170, 171]
BM05 (XC) – Modified B05 hyperGGA scheme that uses MB05 instead of BRSC as the exchange functional[169]
PSTS – HyperGGA (100% HF exchange) exchangecorrelation functional of Perdew, Staroverov, Tao, and Scuseria[172]
MCY2 – MoriSánchezCohenYang adiabatic connectionbased hyperGGA exchangecorrelation functional[173, 174, 175]
Users can also request a customized density functional consisting of any linear combination of exchange and/or correlation functionals available in QChem. A “general” density functional of this sort is requested by setting EXCHANGE = GEN and then specifying the functional by means of an $xc_functional input section consisting of one line for each desired exchange (X) or correlation (C) component of the functional, and having the format shown below.
$xc_functional X exchange_symbol coefficient X exchange_symbol coefficient ... C correlation_symbol coefficient C correlation_symbol coefficient ... K coefficient $end
Each line requires three variables: X or C to designate whether this is an exchange or correlation component; the symbolic representation of the functional, as would be used for the EXCHANGE or CORRELATION keywords variables as described above; and a real number coefficient for each component. Note that HartreeFock exchange can be designated either as “X" or as “K". Examples are shown below.
Example 4.21 QChem input for HO with the B3tLap functional.
$molecule 0 1 O H1 O oh H2 O oh H1 hoh oh = 0.97 hoh = 120.0 $end $rem EXCHANGE gen CORRELATION none BASIS g3large ! recommended for high accuracy THRESH 14 ! and better convergence $end $xc_functional X Becke 0.726 X S 0.0966 C PK06 1.0 K 0.1713 $end
Example 4.22 QChem input for HO with the BR89B94hyb functional.
$molecule 0 1 O H1 O oh H2 O oh H1 hoh oh = 0.97 hoh = 120.0 $end $rem EXCHANGE gen CORRELATION none BASIS g3large ! recommended for high accuracy THRESH 14 ! and better convergence $end $xc_functional X BR89 0.846 C B94hyb 1.0 K 0.154 $end
The next two examples illustrate the use of the RIB05 and RIPSTS functionals. These are presently available only for singlepoint calculations, and convergence is greatly facilitated by obtaining converged SCF orbitals from, e.g., an LDA or HF calculation first. (LDA is used in the example below but HF can be substituted.) Use of the RI approximation (Section 5.6) requires specification of an auxiliary basis set.
Example 4.23 QChem input of H using RIB05.
$comment H2, example of SP RIB05. First do a wellconverged LSD, G3LARGE is the basis of choice for good accuracy. The input lines PURECART 2222 SCF_GUESS CORE are obligatory for the time being here. $end $molecule 0 1 H 0. 0. 0.0 H 0. 0. 0.7414 $end $rem SCF_GUESS core METHOD lda BASIS g3large PURECART 2222 THRESH 14 MAX_SCF_CYCLES 80 PRINT_INPUT true INCDFT false SYM_IGNORE true SYMMETRY false SCF_CONVERGENCE 9 $end @@@@ $comment For the time being the following input lines are obligatory: PURECART 2222 AUX_BASIS riB05ccpvtz DFT_CUTOFFS 0 MAX_SCF_CYCLES 0 $end $molecule read $end $rem SCF_GUESS read EXCHANGE b05 ! or set to psts for ripsts PURECART 2222 BASIS g3large AUX_BASIS rib05ccpvtz ! the aux basis for both RIB05 and RIPSTS THRESH 4 PRINT_INPUT true INCDFT false SYM_IGNORE true SYMMETRY false MAX_SCF_CYCLES 0 DFT_CUTOFFS 0 $end
Basic SCF job control was described in Section 4.3 in the context of HartreeFock theory and is largely the same for DFT. The keywords METHOD and BASIS are required, although for DFT the former could be substituted by specifying EXCHANGE and CORRELATION instead.
METHOD
Specifies the exchangecorrelation functional.
TYPE:
STRING
DEFAULT:
No default
OPTIONS:
NAME
Use METHOD = NAME, where NAME is either HF for HartreeFock theory or
else one of the DFT methods listed in Section 4.4.3.4.
RECOMMENDATION:
In general, consult the literature to guide your selection. Our recommendations for DFT are indicated in bold in Section 4.4.3.4.
EXCHANGE
Specifies the exchange functional (or most exchangecorrelation functionals for backwards compatibility).
TYPE:
STRING
DEFAULT:
No default
OPTIONS:
NAME
Use EXCHANGE = NAME, where NAME is either:
1) One of the exchange functionals listed in Section 4.4.3.2
2) One of the XC functionals listed in Section 4.4.3.4 that is not marked with an
asterisk.
3) GEN, for a userdefined functional (see Section 4.4.3.6).
RECOMMENDATION:
In general, consult the literature to guide your selection. Our recommendations are indicated in bold in Sections 4.4.3.4 and 4.4.3.2.
CORRELATION
Specifies the correlation functional.
TYPE:
STRING
DEFAULT:
NONE
OPTIONS:
NAME
Use CORRELATION = NAME, where NAME is one of the correlation functionals
listed in Section 4.4.3.3.
RECOMMENDATION:
In general, consult the literature to guide your selection. Our recommendations are indicated in bold in Section 4.4.3.3.
The following $rem variables are related to the choice of the quadrature grid required to integrate the XC part of the functional, which does not appear in HartreeFock theory. DFT quadrature grids are described in Section 4.4.5.
FAST_XC
Controls direct variable thresholds to accelerate exchangecorrelation (XC) in DFT.
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
TRUE
Turn FAST_XC on.
FALSE
Do not use FAST_XC.
RECOMMENDATION:
Caution: FAST_XC improves the speed of a DFT calculation, but may occasionally cause the SCF calculation to diverge.
XC_GRID
Specifies the type of grid to use for DFT calculations.
TYPE:
INTEGER
DEFAULT:
Functionaldependent; see Table 4.4.
OPTIONS:
0
Use SG0 for H, C, N, and O; SG1 for all other atoms.
Use SG for all atoms, , or 3
A string of two sixdigit integers and , where is the number of radial points
and is the number of angular points where possible numbers of Lebedev angular
points, which must be an allowed value from Table 4.3 in Section 4.4.5.
Similar format for GaussLegendre grids, with the sixdigit integer corresponding
to the number of radial points and the sixdigit integer providing the number of
GaussLegendre angular points, .
RECOMMENDATION:
Use the default unless numerical integration problems arise. Larger grids may be required for optimization and frequency calculations.
NL_GRID
Specifies the grid to use for nonlocal correlation.
TYPE:
INTEGER
DEFAULT:
1
OPTIONS:
Same as for XC_GRID
RECOMMENDATION:
Use the default unless computational cost becomes prohibitive, in which case SG0 may be used. XC_GRID should generally be finer than NL_GRID.
XC_SMART_GRID
Uses SG0 (where available) for early SCF cycles, and switches to the (larger) target grid specified by XC_GRID for final cycles of the SCF.
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
TRUE (or 1)
Use the smaller grid for the initial cycles.
FALSE (or 0)
Use the target grid for all SCF cycles.
RECOMMENDATION:
The use of the smart grid can save some time on initial SCF cycles.
In practical DFT calculations, the forms of the approximate exchangecorrelation functionals used are quite complicated, such that the required integrals involving the functionals generally cannot be evaluated analytically. QChem evaluates these integrals through numerical quadrature directly applied to the exchangecorrelation integrand. Several standard quadrature grids are available (“SG”, ), with a default value that is automatically set according to the complexity of the functional in question.
The quadrature approach in QChem is generally similar to that found in many DFT programs. The multicenter XC integrals are first partitioned into “atomic” contributions using a nuclear weight function. QChem uses the nuclear partitioning of Becke [176], though without the “atomic size adjustments” of Ref. Becke:1988a. The atomic integrals are then evaluated through standard onecenter numerical techniques. Thus, the exchangecorrelation energy is obtained as
(4.52) 
where the function is the aforementioned XC integrand and the quantities are the quadrature weights. The sum over runs over grid points belonging to atom , which are located at positions , so this approach requires only the choice of a suitable onecenter integration grid (to define the ), which is independent of nuclear configuration. These grids are implemented in QChem in a way that ensures that the is rotationallyinvariant, i.e., that is does not change when the molecule undergoes rigid rotation in space [177].
Quadrature grids are further separated into radial and angular parts. Within QChem, the radial part is usually treated by the EulerMaclaurin scheme proposed by Murray et al. [178], which maps the semiinfinite domain onto and applies the extended trapezoid rule to the transformed integrand. Alternatively, Gill and Chien [179] proposed a radial scheme based on a Gaussian quadrature on the interval with a different weight function. This “MultiExp" radial quadrature is exact for integrands that are a linear combination of a geometric sequence of exponential functions, and is therefore well suited to evaluating atomic integrals. However, the task of generating the MultiExp quadrature points becomes increasingly illconditioned as the number of radial points increases, so that a “double exponential" radial quadrature [180, 181] is used for the largest standard grids in QChem, namely SG2 and SG3 [182]. (See Section 4.4.5.2.)
For a fixed value of the radial sphericalpolar coordinate , a function has an exact expansion in spherical harmonic functions,
(4.53) 
Angular quadrature grids are designed to integrate for fixed , and are often characterized by their degree, meaning the maximum value of for which the quadrature is exact, as well as by their efficiency, meaning the number of spherical harmonics exactly integrated per degree of freedom in the formula. QChem supports the following two types of angular grids.
Lebedev grids. These are speciallyconstructed grids for quadrature on the surface of a sphere [183, 184, 185, 186], based on the octahedral point group. Lebedev grids available in QChem are listed in Table 4.3. These grids typically have nearunit efficiencies, with efficiencies exceeding unity in some cases. A Lebedev grid is selected by specifying the number of grid points (from Table 4.3) using the $rem keyword XC_GRID, as discussed below.
No. Points 
Degree 
No. Points 
Degree 
No. Points 
Degree 
() 
() 
() 

6 
3 
230 
25 
1730 
71 
14 
5 
266 
27 
2030 
77 
26 
7 
302 
29 
2354 
83 
38 
9 
350 
31 
2702 
89 
50 
11 
434 
35 
3074 
95 
74 
13 
590 
41 
3470 
101 
86 
15 
770 
47 
3890 
107 
110 
17 
974 
53 
4334 
113 
146 
19 
1202 
59 
4802 
119 
170 
21 
1454 
65 
5294 
125 
194 
23 
GaussLegendre grids. These are spherical directproduct grids in the two sphericalpolar angles, and . Integration in over is performed using a Gaussian quadrature derived from the Legendre polynomials, while integration over is performed using equallyspaced points. A GaussLegendre grid is selected by specifying the total number of points, , to be used for the integration, which specifies a grid consisting of points in and in , for a degree of . GaussLegendre grids exhibit efficiencies of only 2/3, and are thus lower in quality than Lebedev grids for the same number of grid points, but have the advantage that they are defined for arbitrary (and arbitrarilylarge) numbers of grid points. This offers a mechanism to achieve arbitrary accuracy in the angular integration, if desired.
Combining these radial and angular schemes yields an intimidating selection of quadratures, so it is useful to standardize the grids. This is done for the convenience of the user, to facilitate comparisons in the literature, and also for developers wishing to compared detailed results between different software programs, because the total electronic energy is sensitive to the details of the grid, just as it is sensitive to details of the basis set. Standard quadrature grids are discussed next.
Four different “standard grids" are available in QChem, designated SG, for , or 3; both quality and the computational cost of these grids increases with . These grids are constructed starting from a “parent” grid () consisting of radial spheres with angular (Lebedev) grid points on each, then systematically pruning the number of angular points in regions where sophisticated angular quadrature is not necessary, such as near the nuclei where the charge density is nearly spherically symmetric and at long distance from the nuclei where it varies slowly. A large number of points is retained in the valence region where angular accuracy is critical. The SG grids are summarized in Table 4.4. While many electronic structure programs use some kind of procedure to delete unnecessary grid points in the interest of computational efficiency, QChem’s SG grids are notable in that the complete grid specifications are available in the peerreviewed literature [187, 188, 182], to facilitate reproduction of QChem DFT calculations using other electronic structure programs.
Pruned 
Ref. 
Parent Grid 
No. Grid Points 
Default Grid for 
Grid 
() 
(C atom) 
Which Functionals? 

SG0 
Chien:2006 
(23, 170) 
1,390 (36%) 
None 
SG1 
Gill:1993 
(50, 194) 
3,816 (39%) 
LDA, most GGAs and hybrids 
SG2 
Dasgupta:2017 
(75, 302) 
7,790 (34%) 
MetaGGAs; B95 and B97based functionals 
SG3 
Dasgupta:2017 
(99, 590) 
17,674 (30%) 
Minnesota functionals 
Number in parenthesis is the fraction of points retained from the parent grid 

Reflects QChem versions since v. 4.4.2 
The SG0 and SG1 grids are designed for calculations on large molecules using GGA functionals. SG1 affords integration errors on the order of 0.2 kcal/mol for mediumsized molecules and GGA functionals, including for demanding test cases such as reaction enthalpies for isomerizations. (Integration errors in total energies are no more than a few hartree, or 0.01 kcal/mol.) The SG0 grid was derived in similar fashion, and affords a rootmeansquare error in atomization energies of 72 hartree with respect to SG1, while relative energies are reproduced well [188]. In either case, errors of this magnitude are typically considerably smaller than the intrinsic errors in GGA energies, and hence acceptable. As seen in Table 4.4, SG1 retains % of the grid points of its parent grid, which translates directly into cost savings.
Both SG0 and SG1 were optimized so that the integration error in the energy falls below a target threshold, but derivatives of the energy (including such properties as (hyper)polarizabilities [189]) are often more sensitive to the quality of the integration grid. Special care is required, for example, when imaginary vibrational frequencies are encountered, as lowfrequency (but real) vibrational frequencies can manifest as imaginary if the grid is sparse. If imaginary frequencies are found, or if there is some doubt about the frequencies reported by QChem, the recommended procedure is to perform the geometry optimization and vibrational frequency calculations again using a higherquality grid. (The optimization should converge quite quickly if the previouslyoptimized geometry is used as an initial guess.)
SG1 was the default DFT integration grid for all density functionals for QChem versions 3.2–4.4. (Note that SG0 was reoptimized for QChem v. 3.0, so results may differ slightly as compared to older versions of the program.) Beginning with QChem v. 4.4.2, however, the default grid is functionaldependent, as summarized in Table 4.4. This is a reflection of the fact that although SG1 is adequate for energy calculations using most GGA and hybrid functionals (although care must be taken for some other properties, as discussed below), it is not adequate to integrate many functionals developed since 2005. These include metaGGAs, which are more complicated due to their dependence on the kinetic energy density ( in Eq. eq:tau) and/or the Laplacian of the density (). Functionals based on B97, along with the Minnesota suite of functionals [124, 190], contain relatively complicated expressions for the exchange inhomogeneity factor, and are therefore also more sensitive to the quality of the integration grid [191, 139, 182]. To integrate these modern density functionals, the SG2 and SG3 grids were developed [182], which are pruned versions of the mediumquality (75, 302) and highquality (99, 590) integration grids, respectively. Tests of properties known to be highly sensitive to the quality of the integration grid, such as vibrational frequencies, hyperpolarizabilities, and potential energy curves for nonbonded interactions, demonstrate that SG2 is usually adequate for metaGGAs and B97based functionals, and in many cases is essentially converged with respect to an unpruned (250, 974) grid [182]. The Minnesota functionals are more sensitive to the grid, and while SG3 is often adequate, it is not completely converged in the case of nonbonded interactions. [182].
Whenever QChem calculates numerical density functional integrals, the electron density itself is also integrated numerically as a test of the quality of the numerical quadrature. The extent to which this numerical result differs from the number of electrons is an indication of the accuracy of the other numerical integrals. A warning message is printed whenever the relative error in the numerical electron count reaches 0.01%, indicating that the numerical XC results may not be reliable. If the warning appears on the first SCF cycle it is probably not serious, because the initialguess density matrix is sometimes not idempotent. This is the case with the SAD guess discussed in Section 4.5, and also with a density matrix that is taken from a previous geometry optimization cycle, and in such cases the problem will likely correct itself in subsequent SCF iterations. If the warning persists, however, then one should consider either using a finer grid or else selecting an alternative initial guess.
By default, QChem will estimate the magnitude of various XC contributions on the grid and eliminate those determined to be numerically insignificant. QChem uses speciallydeveloped cutoff procedures which permits evaluation of the XC energy and potential in only work for large molecules. This is a significant improvement over the formal scaling of the XC cost, and is critical in enabling DFT calculations to be carried out on very large systems. In rare cases, however, the default cutoff scheme can be too aggressive, eliminating contributions that should be retained; this is almost always signaled by an inaccurate numerical density integral. An example of when this could occur is in calculating anions with multiple sets of diffuse functions in the basis. A remedy may be to increase the size of the quadrature grid.
Whereas RSH functionals such as LRCPBE are attempts to add 100% LR HartreeFock exchange with minimal perturbation to the original functional (PBE, in this example), other RSH functionals are of a more empirical nature and their rangeseparation parameters have been carefully parameterized along with all of the other parameters in the functional. These cases are functionals are discussed first, in Section 4.4.6.1, because their rangeseparation parameters should be taken as fixed. Userdefined values of the rangeseparation parameter are discussed in Section 4.4.6.2, and Section 4.4.6.3 discusses a procedure for which an optimal, systemspecific value of this parameter ( or ) can be chosen for functionals such as LRCPBE or LRCPBE.
Semiempirical RSH functionals for which the rangeseparation parameter should be considered fixed include the B97, B97X, and B97XD functionals developed by Chai and HeadGordon [29, 39]; B97XV and B97MV from Mardirossian and HeadGordon [139, 151]; M11 from Peverati and Truhlar [152]; B97XD3, M05D, and M06D3 from Chai and coworkers [153, 140]; and the screened exchange functionals N12SX and MN12SX from Truhlar and coworkers [149]. More recently, Mardirossian and HeadGordon developed two RSH functionals, B97XV and B97MV, via a combinatorial approach by screening over 100,000 possible functionals in the first case and over 10 billion possible functionals in the second case. Both of the latter functionals use the VV10 nonlocal correlation functional in order to improve the description of noncovalent interactions and isomerization energies. B97MV is a 12parameter metaGGA with 15% shortrange exact exchange and 100% longrange exact exchange and is one of the most accurate functionals available through rung 4 of Jacob’s Ladder, across a wide variety of applications. This has been verified by benchmarking the functional on nearly 5000 data points against over 200 alternative functionals available in QChem [151].
As pointed out in Ref. Dreuw:2003 and elsewhere, the description of chargetransfer excited states within density functional theory (or more precisely, timedependent DFT, which is discussed in Section 6.3) requires full (100%) nonlocal HF exchange, at least in the limit of large donor–acceptor distance. Hybrid functionals such as B3LYP [31, 32] and PBE0 [193] that are wellestablished and in widespread use, however, employ only 20% and 25% HF exchange, respectively. While these functionals provide excellent results for many groundstate properties, they cannot correctly describe the distance dependence of chargetransfer excitation energies, which are enormously underestimated by most common density functionals. This is a serious problem in any case, but it is a catastrophic problem in large molecules and in noncovalent clusters, where TDDFT often predicts a nearcontinuum of spurious, lowlying charge transfer states [194, 195]. The problems with TDDFT’s description of charge transfer are not limited to large donor–acceptor distances, but have been observed at 2 separation, in systems as small as uracil–(HO) [194]. Rydberg excitation energies also tend to be substantially underestimated by standard TDDFT.
One possible avenue by which to correct such problems is to parameterize functionals that contain 100% HF exchange, though few such functionals exist to date. An alternative option is to attempt to preserve the form of common GGAs and hybrid functionals at short range (i.e., keep the 25% HF exchange in PBE0) while incorporating 100% HF exchange at long range, which provides a rigorously correct description of the longrange distance dependence of chargetransfer excitation energies, but aims to avoid contaminating shortrange exchangecorrelation effects with additional HF exchange. The separation is accomplished using the rangeseparation ansatz that was introduced in Section 4.4.3. In particular, functionals that use 100% HF exchange at long range ( in Eq. eq:RSHGGA) are known as “longrangecorrected” (LRC) functionals. An LRC version of PBE0 would, for example, have .
To fully specify an LRC functional, one must choose a value for the range separation parameter in Eq. (). In the limit , the LRC functional in Eq. eq:RSHGGA reduces to a nonRSH functional where there is no “SR” or “LR”, because all exchange and correlation energies are evaluated using the full Coulomb operator, . Meanwhile the limit corresponds to a new functional, . Full HF exchange is inappropriate for use with most contemporary GGA correlation functionals, so the latter limit is expected to perform quite poorly. Values of bohr are likely not worth considering, according to benchmark tests [196, 147].
Evaluation of the short and longrange HF exchange energies is straightforward [197], so the crux of any RSH functional is the form of the shortrange GGA exchange functional, and several such functionals are available in QChem. These include shortrange variants of the B88 and PBE exchange described by Hirao and coworkers [53, 146], called B88 and PBE in QChem [198], and an alternative formulation of shortrange PBE exchange proposed by Scuseria and coworkers [62], which is known as PBE. These functionals are available in QChem thanks to the efforts of the Herbert group [147, 148]. By way of notation, the terms “PBE”, “PBE”, etc., refer only to the shortrange exchange functional, in Eq. eq:RSHGGA. These functionals could be used in “screened exchange” mode, as described in Section 4.4.3, as for example in the HSE03 functional [199], therefore the designation “LRCPBE”, for example, should only be used when the shortrange exchange functional PBE is combined with 100% HartreeFock exchange in the long range.
In general, LRCDFT functionals have been shown to remove the nearcontinuum of spurious chargetransfer excited states that appear in largescale TDDFT calculations [196]. However, certain results depend sensitively upon the value of the rangeseparation parameter [196, 147, 148, 195, 200], especially in TDDFT calculations (Section 6.3) and therefore the results of LRCDFT calculations must therefore be interpreted with caution, and probably for a range of values. This can be accomplished by requesting a functional that contains some shortrange GGA exchange functional (PBE or PBE, in the examples mentioned above), in combination with setting the $rem variable LRC_DFT = TRUE, which requests the addition of 100% HartreeFock exchange in the longrange. Basic jobcontrol variables and an example can be found below. The value of the rangeseparation parameter is then controlled by the variable OMEGA, as shown in the examples below.
LRC_DFT
Controls the application of longrangecorrected DFT
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
FALSE (or 0)
Do not apply longrange correction.
TRUE (or 1)
Add 100% longrange HartreeFock exchange to the requested functional.
RECOMMENDATION:
The $rem variable OMEGA must also be specified, in order to set the rangeseparation parameter.
OMEGA
Sets the rangeseparation parameter, , also known as , in functionals based on Hirao’s RSH scheme.
TYPE:
INTEGER
DEFAULT:
No default
OPTIONS:
Corresponding to , in units of bohr
RECOMMENDATION:
None
COMBINE_K
Controls separate or combined builds for shortrange and longrange K
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
FALSE (or 0)
Build shortrange and longrange K separately (twice as expensive as a global hybrid)
TRUE (or 1)
Build shortrange and longrange K together ( as expensive as a global hybrid)
RECOMMENDATION:
Most predefined rangeseparated hybrid functionals in QChem use this feature by default. However, if a userspecified RSH is desired, it is necessary to manually turn this feature on.
Example 4.24 Application of LRCBOP to .
$comment The value of omega is 0.47 by default but can be overwritten by specifying OMEGA. $end $molecule 1 2 O 1.347338 0.017773 0.071860 H 1.824285 0.813088 0.117645 H 1.805176 0.695567 0.461913 O 1.523051 0.002159 0.090765 H 0.544777 0.024370 0.165445 H 1.682218 0.174228 0.849364 $end $rem EXCHANGE LRCBOP BASIS 631(1+,3+)G* LRC_DFT TRUE OMEGA 300 ! = 0.300 bohr**(1) $end
Recently, Rohrdanz et al. [148] have published a thorough benchmark study of both ground and excitedstate properties, using the “LRCPBEh” functional, in which the “h” indicates a shortrange hybrid (i.e., the presence of some shortrange HF exchange). Empiricallyoptimized parameters of (see Eq. eq:RSHGGA) and bohr were obtained [148], and these parameters are taken as the defaults for LRCPBEh. Caution is warranted, however, especially in TDDFT calculations for large systems, as excitation energies for states that exhibit chargetransfer character can be rather sensitive to the precise value of .[195, 148] In such cases (and maybe in general), the “tuning” procedure described in Section 4.4.6.3 is recommended.
Example 4.25 Application of LRCPBEh to the – dimer at 5 separation.
$comment This example uses the "optimal" parameter set discussed above. It can also be run by setting METHOD = LRCwPBEh. $end $molecule 0 1 C 0.670604 0.000000 0.000000 C 0.670604 0.000000 0.000000 H 1.249222 0.929447 0.000000 H 1.249222 0.929447 0.000000 H 1.249222 0.929447 0.000000 H 1.249222 0.929447 0.000000 C 0.669726 0.000000 5.000000 C 0.669726 0.000000 5.000000 F 1.401152 1.122634 5.000000 F 1.401152 1.122634 5.000000 F 1.401152 1.122634 5.000000 F 1.401152 1.122634 5.000000 $end $rem EXCHANGE GEN BASIS 631+G* LRC_DFT TRUE OMEGA 200 ! = 0.2 a.u. CIS_N_ROOTS 4 CIS_TRIPLETS FALSE $end $xc_functional C PBE 1.00 X wPBE 0.80 X HF 0.20 $end
Both LRC functionals and also the asymptotic corrections that will be discussed in Section 4.4.9.1 are thought to reduce selfinteraction error in approximate DFT. A convenient way to quantify—or at least depict—this error is by plotting the DFT energy as a function of the (fractional) number of electrons, , because should in principle consist of a sequence of line segments with abrupt changes in slope (the socalled derivative discontinuity [201, 202]) at integer values of , but in practice these plots bow away from straightline segments [201]. Examination of such plots has been suggested as a means to adjust the fraction of shortrange exchange in an LRC functional [203], while the rangeseparation parameter is tuned as described in Section 4.4.6.3.
Example 4.26 Example of a DFT job with a fractional number of electrons. Here, we make the anion of fluoride by subtracting a fraction of an electron from the HOMO of F.
$comment Subtracting a whole electron recovers the energy of F. Adding electrons to the LUMO is possible as well. $end $rem EXCHANGE b3lyp BASIS 631+G* FRACTIONAL_ELECTRON 500 ! divide by 1000 to get the fraction, 0.5 here. $end $molecule 2 2 F $end
Whereas the rangeseparation parameters for the functionals described in Section 4.4.6.1 are wholly empirical in nature and should not be adjusted, for the functionals described in Section 4.4.6.2 some adjustment was suggested, especially for TDDFT calculations and for any properties that require interpretation of orbital energies, e.g., HOMO/LUMO gaps. This adjustment can be performed in a nonempirical, albeit systemspecific way, by “tuning” the value of in order to satisfy certain criteria that ought rigorously to be satisfied by an exact density functional.
Systemspecific optimization of is based on the Koopmans condition that would be satisfied for the exact density functional, namely, that for an electron molecule [204]
(4.54) 
In other words, the HOMO eigenvalue should be equal to minus the ionization energy (IE), where the latter is defined by a SCF procedure [205, 206]. When an RSH functional is used, all of the quantities in Eq. eq:IPtuning are dependent, so this parameter is adjusted until the condition in Eq. eq:IPtuning is met, which requires a sequence of SCF calculations on both the neutral and ionized species, using different values of . For proper description of chargetransfer states, Baer and coworkers [204] suggest finding the value of that (to the extent possible) satisfies both Eq. eq:IPtuning for the neutral donor molecule and its analogue for the anion of the acceptor species. Note that for a given approximate density functional, there is no guarantee that the IE condition can actually be satisfied for any value of , but in practice it usually can be, and published benchmarks suggest that this systemspecific approach affords the most accurate values of IEs and TDDFT excitation energies [207, 208, 204]. It should be noted, however, that the optimal value of can very dramatically with system size, e.g., it is very different for the cluster anion (HO) than it is for cluster (HO) [200].
A script that optimizes , called OptOmegaIPEA.pl, is located in the $QC/bin directory. The script scans over the range 0.1–0.8 bohr, corresponding to values of the $rem variable OMEGA in the range 100–800. See the script for the instructions how to modify the script to scan over a wider range. To execute the script, you need to create three inputs for a BNL job using the same geometry and basis set, for a neutral molecule (N.in), its anion (M.in), and its cation (P.in), and then run the command
OptOmegaIPEA.pl >& optomega
which both generates the input files (N_*, P_*, M_*) and runs QChem on them, writing the optimization output into optomega. This script applies the IE condition to both the neutral molecule and its anion, minimizing the sum of for these two species. A similar script, OptOmegaIP.pl, uses Eq. eq:IPtuning for the neutral molecule only.
Note: (i) If the system does not have positive EA, then the tuning should be done according to the IP condition only. The IP/EA script will yield an incorrect value of in such cases.
(ii) In order for the scripts to work, one must specify SCF_FINAL_PRINT = 1 in the inputs. The scripts look for specific regular expressions and will not work correctly without this keyword.
Although the tuning procedure was originally developed by Baer and coworkers using the BNL functional [207, 208, 204], it has more recently been applied using functionals such as LRCPBE (see, e.g., Ref. Uhlig:2014), and the scripts will work with functionals other than BNL.
The value of rangeseparation parameter based on IP tuning procedure () exhibits a troublesome dependence on system size [200, 209, 210, 211, 212]. An alternative method to select is the global densitydependent (GDD) tuning procedure[213], in which the optimal value
(4.55) 
is related to the average distance between an electron in the outer regions of a molecule and the exchange hole in the region of localized orbitals. The quantity is an empirical constant for a given LRC functional, which was determined in Ref. Modrzejewski:2013 for LRCPBE () and LRCPBEh (), using the def2TZVPP basis set. Since LRCPBE() provides a better description of polarizabilities in polyacetylene as compared to [214], it is anticipated that using in place of may afford more accurate molecular properties, especially in conjugated systems. The value based on the GDD tuning procedure for RSH functionals can be invoked by setting the $rem variable OMEGA_GDD = TRUE. Basic jobcontrol variables and an example can be found below. Since depends on the electron density, the converged density obtained by RSH functionals is used to compute . The rangeseparation parameter for RSH functionals is still necessary to set by the variable OMEGA, for example, OMEGA = 300 for LRCPBE and OMEGA = 200 for LRCPBEh although the final value is not quite sensitive to the initial OMEGA input.
OMEGA_GDD
Controls the application of tuning for longrangecorrected DFT
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
FALSE (or 0)
Do not apply tuning.
TRUE (or 1)
Use tuning.
RECOMMENDATION:
The $rem variable OMEGA must also be specified, in order to set the initial rangeseparation parameter.
OMEGA_GDD_SCALING
Sets the empirical constant in tuning procedure.
TYPE:
INTEGER
DEFAULT:
885
OPTIONS:
Corresponding to .
RECOMMENDATION:
The quantity = 885 was determined by Lao and Herbert in Ref. Lao:2017 using LRCPBE and def2TZVPP augmented with diffuse functions on nonhydrogen atoms that are taken from Dunning’s augccpVTZ basis set.
Example 4.27 Sample input illustrating a calculation to determine the value for LRCPBE based on the tuning procedure.
$comment The initial omega value has to set. $end $rem exchange gen basis augccpvdz lrc_dft true omega 300 omega_gdd true $end $xc_functional x wPBE 1.0 c PBE 1.0 $end $molecule 0 1 O 0.042500 0.091700 0.110000 H 0.749000 0.556800 0.438700 H 0.825800 0.574700 0.432500 $end
This section describes three different procedures for obtaining a better description of dispersion (i.e., van der Waals) interactions DFT calculations: nonlocal correlation functionals (Section 4.4.7.1), empirical atom–atom dispersion potentials (“DFTD”, Section 4.4.7.2), and finally the BeckeJohnson exchangedipole model (XDM, Section 4.4.7.3).
QChem includes four nonlocal correlation functionals that describe longrange dispersion:
vdWDF04, developed by Langreth, Lundqvist, and coworkers [36, 37], implemented as described in Ref. Vydrov:2008.
vdWDF10 (also known as vdWDF2), which is a reparameterization [217] of vdWDF04, implemented in the same way as its precursor.
VV09, developed [34] and implemented [218] by Vydrov and Van Voorhis.
VV10 by Vydrov and Van Voorhis [35].
rVV10 by Sabatini and coworkers [38].
All of these functionals are implemented selfconsistently and analytic gradients with respect to nuclear displacements are available [216, 218, 35]. The nonlocal correlation is governed by the $rem variable NL_CORRELATION, which can be set to one of the four values: vdWDF04, vdWDF10, VV09, or VV10. Note that the vdWDF04, vdWDF10, and VV09 functionals are used in combination with LSDA correlation, which must be specified explicitly. For instance, vdWDF10 is invoked by the following keyword combination:
CORRELATION PW92 NL_CORRELATION vdWDF10
VV10 is used in combination with PBE correlation, which must be added explicitly. In addition, the values of two parameters, and must be specified for VV10. These parameters are controlled by the $rem variables NL_VV_C and NL_VV_B, respectively. For instance, to invoke VV10 with and , the following input is used:
CORRELATION PBE NL_CORRELATION VV10 NL_VV_C 93 NL_VV_B 590
The variable NL_VV_C may also be specified for VV09, where it has the same meaning. By default, is used in VV09 (i.e. NL_VV_C is set to 89). However, in VV10 neither nor are assigned a default value and must always be provided in the input.
Unlike local (LSDA) and semilocal (GGA and metaGGA) functionals, for nonlocal functionals evaluation of the correlation energy requires a double integral over the spatial variables [cf. Eq. ()]:
(4.56) 
In practice, this double integration is performed numerically on a quadrature grid [216, 218, 35]. By default, the SG1 quadrature (described in Section 4.4.5.2 below) is used to evaluate , but a different grid can be requested via the $rem variable NL_GRID. The nonlocal energy is rather insensitive to the fineness of the grid, so that SG1 or even SG0 grids can be used in most cases. However, a finer grid may be required to integrate other components of the functional, as controlled by the XC_GRID variable (see Section 4.4.5.2).
Several exchangecorrelation functionals in QChem are predefined to use the VV10 nonlocal correlation functional. The two functionals from the original paper[35] can be used by specifying METHOD = VV10 or METHOD LCVV10. In addition, the combinatoriallyoptimized functionals of Mardirossian and HeadGordon (B97XV, B97MV, and B97MV) use nonlocal correlation and can be invoked by setting METHOD to wB97XV, B97MV, or wB97MV.
Example 4.28 Geometry optimization of the methane dimer using VV10 with rPW86 exchange.
$molecule 0 1 C 0.000000 0.000140 1.859161 H 0.888551 0.513060 1.494685 H 0.888551 0.513060 1.494685 H 0.000000 1.026339 1.494868 H 0.000000 0.000089 2.948284 C 0.000000 0.000140 1.859161 H 0.000000 0.000089 2.948284 H 0.888551 0.513060 1.494685 H 0.888551 0.513060 1.494685 H 0.000000 1.026339 1.494868 $end $rem JOBTYPE opt BASIS augccpVTZ EXCHANGE rPW86 CORRELATION PBE XC_GRID 2 NL_CORRELATION VV10 NL_GRID 1 NL_VV_C 93 NL_VV_B 590 $end
In the above example, the SG2 grid is used to evaluate the rPW86 exchange and PBE correlation, but a coarser SG1 grid is used for the nonlocal part of VV10. Furthermore, the above example is identical to specifying METHOD = VV10.
NL_CORRELATION
Specifies a nonlocal correlation functional that includes nonempirical dispersion.
TYPE:
STRING
DEFAULT:
None
No nonlocal correlation.
OPTIONS:
None
No nonlocal correlation
vdWDF04
the nonlocal part of vdWDF04
vdWDF10
the nonlocal part of vdWDF10 (also known as vdWDF2)
VV09
the nonlocal part of VV09
VV10
the nonlocal part of VV10
RECOMMENDATION:
Do not forget to add the LSDA correlation (PW92 is recommended) when using vdWDF04, vdWDF10, or VV09. VV10 should be used with PBE correlation. Choose exchange functionals carefully: HF, rPW86, revPBE, and some of the LRC exchange functionals are among the recommended choices.
NL_VV_C
Sets the parameter in VV09 and VV10. This parameter is fitted to asymptotic van der Waals coefficients.
TYPE:
INTEGER
DEFAULT:
89
for VV09
No default
for VV10
OPTIONS:
Corresponding to
RECOMMENDATION:
is recommended when a semilocal exchange functional is used. is recommended when a longrange corrected (LRC) hybrid functional is used. For further details see Ref. Vydrov:2010b.
NL_VV_B
Sets the parameter in VV10. This parameter controls the short range behavior of the nonlocal correlation energy.
TYPE:
INTEGER
DEFAULT:
No default
OPTIONS:
Corresponding to
RECOMMENDATION:
The optimal value depends strongly on the exchange functional used. is recommended for rPW86. For further details see Ref. Vydrov:2010b.
USE_RVV10
Used to turn on the rVV10 NLC functional
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
FALSE
VV10 NLC is utilized (the default for NL_CORRELATION)
TRUE
rVV10 NLC is utilized
RECOMMENDATION:
Set to TRUE if the rVV10 NLC is desired.
There are currently three unique DFTD methods in QChem, which are requested via the $rem variable DFT_D, and which are discussed below.
DFT_D
Controls the empirical dispersion correction to be added to a DFT calculation.
TYPE:
LOGICAL
DEFAULT:
None
OPTIONS:
FALSE
(or 0) Do not apply the DFTD2, DFTCHG, or DFTD3 scheme
EMPIRICAL_GRIMME
DFTD2 dispersion correction from Grimme
EMPIRICAL_CHG
DFTCHG dispersion correction from Chai and HeadGordon
EMPIRICAL_GRIMME3
DFTD3(0) dispersion correction from Grimme (deprecated as of QChem 5.0)
D3_ZERO
DFTD3(0) dispersion correction from Grimme et al.
D3_BJ
DFTD3(BJ) dispersion correction from Grimme et al.
D3_CSO
DFTD3(CSO) dispersion correction from Schröder et al.
D3_ZEROM
DFTD3M(0) dispersion correction from Smith et al.
D3_BJM
DFTD3M(BJ) dispersion correction from Smith et al.
D3_OP
DFTD3(op) dispersion correction from Witte et al.
D3
Recommended; chooses the "best" available D3 dispersion correction
RECOMMENDATION:
NONE
Thanks to the efforts of the Sherrill group, Grimm’s popular DFTD2 empirical dispersion correction [28] is available in QChem, along with analytic gradients and frequencies. This correction can be added to any density functional that is available in QChem, although its use with the nonlocal correlation functionals discussed in Section 4.4.7.1 is obviously not recommended.
DFTD2 adds an extra term,
(4.57)  
(4.58)  
(4.59) 
where is a global scaling parameter (near unity) and is a damping function meant to help avoid doublecounting correlation effects at short range (and to prevent the divergence of ), which depends on another parameter, . The quantity is the sum of the van der Waals radii of atoms A and B. Grimme has suggested using for PBE, for BLYP, for BP86, and for B3LYP, and these are the default values when those functionals are used. Otherwise, the default value is .
DFTD2 parameters, including the atomic van der Waals radii, can be altered using a $empirical_dispersion input section. For example:
$empirical_dispersion S6 1.1 D 10.0 C6 Ar 4.60 Ne 0.60 VDW_RADII Ar 1.60 Ne 1.20 $end
Any values not specified explicitly will default to the values optimized by Grimme.
Note: (i) DFTD2 is only defined for elements up to Xe.
(ii) B97D is an exchangecorrelation functional that automatically employs the DFTD2 dispersion correction when used via METHOD B97D.
An alternative to Grimme’s DFTD2 is the empirical dispersion correction of Chai and HeadGordon [39], which employs a slightly different damping function
(4.60) 
The Chai–HeadGordon dispersion correction is activated by setting DFT_D = EMPIRICAL_CHG, and the damping parameter is controlled by the keyword DFT_D_A.
DFT_D_A
Controls the strength of dispersion corrections in the Chai–HeadGordon DFTD scheme, Eq. eqn:CHG.
TYPE:
INTEGER
DEFAULT:
600
OPTIONS:
Corresponding to .
RECOMMENDATION:
Use the default.
Note: (i) DFTCHG is only defined for elements up to Xe.
(ii) The B97XD and M05D functionals automatically employ the DFTCHG dispersion correction when used via METHOD = wB97XD or wM05D.
Finally, Grimme’s more recent DFTD3 method [40], and improvement on his DFTD2 approach, [28] is available along with analytic first and second derivatives, and can be combined with any of the density functionals available in QChem. The total DFTD3 energy is given by , where is the total energy from KSDFT and the dispersion correction is a sum of two and threebody energies. As of QChem 5.0, several versions of DFTD3 are implemented.
All versions of DFTD3 are based on the addition of an empirical dispersion term to the energy. This term is given by
(4.61) 
where the sum runs over all unique pairs of atoms and ; the are thorder isotropic dispersion coefficients for atom pair ; is the distance between atoms and ; are global, functionaldependent scaling parameters; and are damping functions. The original zerodamping formulation, DFTD3(0), of Grimme et al. [40] utilizes a damping function of the form
(4.62) 
where are pretabulated van der Waals radii, is a functionaldependent parameter, , , and . In this approach, is generally fixed to unity, and is optimized for each density functional.
The more recent BJdamping model, [41] DFTD3(BJ), adds in some finite amount of correlation even at short distances. Its damping function is given by
(4.63) 
where and are adjustable nonlinear parameters fit to each density functional. As in DFTD3(0), is generally fixed to unity and is optimized for each functional. The DFTD3(BJ) approach generally outperforms the original DFTD3(0) formulation. [41]
The Csixonly (CSO) approach of Schröder et al. [42] utilizes a damping function with one nonlinear parameter, :
(4.64) 
The DFTD3(BJ) approach was reparameterized by Smith et al. [43] to yield the DFTD3M(BJ) approach. This approach was parameterized heavily on nonequilibrium systems. Those same authors altered and modified the original DFTD3(0) to obtain DFTD3M(0), which has one additional parameter on top of the original DFTD3(0) set, :
(4.65) 
The optimized power approach of Witte et al. [219] treats the exponent, , as an optimizable parameter (Note: ), and is given by
(4.66) 
DFTD3(0) is requested by setting DFT_D = D3_ZERO. The model depends on four scaling factors [, , , and , as defined in eq. (4.62), which can be adjusted using the $rem variables described below.
DFTD3(BJ) is requested by setting DFT_D = D3_BJ. The model depends on four scaling factors [, , , and , as defined in eq. (4.63), which can be adjusted using the $rem variables described below.
DFTD3(CSO) is requested by setting DFT_D = D3_CSO. The model depends on two scaling factors [ and , as defined in eq. (4.64), which can be adjusted using the $rem variables described below.
DFTD3M(0) is requested by setting DFT_D = D3_ZEROM. The model depends on five scaling factors [, , , , and , as defined in eq. (4.65), which can be adjusted using the $rem variables described below.
DFTD3M(BJ) is requested by setting DFT_D = D3_BJM. The model depends on four scaling factors [, , , and , as defined in eq. (4.63), which can be adjusted using the $rem variables described below.
DFTD3(op) is requested by setting DFT_D = D3_OP. The model depends on four scaling factors [, , , , and as defined in eq. (4.63), which can be adjusted using the $rem variables described below.
Or, one may simply set DFT_D = D3, and a D3 tail will be chosen automatically, if one is available for the selected functional.
Note: (i) DFTD3(0) is defined for elements up to Pu ().
(ii) The B97D3(0), B97XD3, M06D3 functionals automatically employ the DFTD3(0) dispersion correction when invoked by setting METHOD equal to B97D3, wB97XD3, or wM06D3.
(iii) The old way of invoking DFTD3, namely through the use of EMPIRICAL_GRIMME3, is still supported, though its use is discouraged, since D3_ZERO accomplishes the same thing, but with additional precision for the relevant parameters.
(iv) When DFT_D = D3, parameters may not be overwritten, with the exception of DFT_D3_3BODY; this is intended as a userfriendly option. This is also the case when EMPIRICAL_GRIMME3 is employed for a functional parameterized in QChem. When any of D3_ZERO, D3_BJ, etc. are chosen, QChem will automatically populate the parameters with values if available for the given functional, but will still allow these defaults to be overwritten.
DFT_D3_S6
The linear parameter in eq. (4.61). Utilized in all forms of DFTD3.
TYPE:
INTEGER
DEFAULT:
100000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
DFT_D3_RS6
The nonlinear parameter in eqs. (4.62) and (4.65). Utilized in DFTD3(0) and DFTD3M(0).
TYPE:
INTEGER
DEFAULT:
100000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
DFT_D3_S8
The linear parameter in eq. (4.61). Utilized in DFTD3(0), DFTD3(BJ), DFTD3M(0), DFTD3M(BJ), and DFTD3(op).
TYPE:
INTEGER
DEFAULT:
100000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
DFT_D3_RS8
The nonlinear parameter in eqs. (4.62) and (4.65). Utilized in DFTD3(0) and DFTD3M(0).
TYPE:
INTEGER
DEFAULT:
100000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
DFT_D3_A1
The nonlinear parameter in eqs. (4.63), (4.64), (4.65), and (4.66). Utilized in DFTD3(BJ), DFTD3(CSO), DFTD3M(0), DFTD3M(BJ), and DFTD3(op).
TYPE:
INTEGER
DEFAULT:
100000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
DFT_D3_A2
The nonlinear parameter in eqs. (4.63) and (4.66). Utilized in DFTD3(BJ), DFTD3M(BJ), and DFTD3(op).
TYPE:
INTEGER
DEFAULT:
100000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
DFT_D3_POWER
The nonlinear parameter in eq. (4.66). Utilized in DFTD3(op). Must be greater than or equal to 6 to avoid divergence.
TYPE:
INTEGER
DEFAULT:
600000
OPTIONS:
Corresponding to .
RECOMMENDATION:
NONE
The threebody interaction term [40], , must be explicitly turned on, if desired.
DFT_D3_3BODY
Controls whether the threebody interaction in Grimme’s DFTD3 method should be applied (see Eq. (14) in Ref. Grimme:2010).
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
FALSE (or 0)
Do not apply the threebody interaction term
TRUE
Apply the threebody interaction term
RECOMMENDATION:
NONE
Example 4.29 Applications of B3LYPD3(0) with custom parameters to a methane dimer.
$comment Geometry optimization, followed by singlepoint calculations using a larger basis set. $end $molecule 0 1 C 0.000000 0.000323 1.755803 H 0.887097 0.510784 1.390695 H 0.887097 0.510784 1.390695 H 0.000000 1.024959 1.393014 H 0.000000 0.001084 2.842908 C 0.000000 0.000323 1.755803 H 0.000000 0.001084 2.842908 H 0.887097 0.510784 1.390695 H 0.887097 0.510784 1.390695 H 0.000000 1.024959 1.393014 $end $rem JOBTYPE opt EXCHANGE B3LYP BASIS 631G* DFT_D D3_ZERO DFT_D3_S6 100000 DFT_D3_RS6 126100 DFT_D3_S8 170300 DFT_D3_3BODY FALSE $end @@@ $molecule read $end $rem JOBTYPE sp EXCHANGE B3LYP BASIS 6311++G** DFT_D D3_ZERO DFT_D3_S6 100000 DFT_D3_RS6 126100 DFT_D3_S8 170300 DFT_D3_3BODY FALSE $end
Becke and Johnson have proposed a conceptually simple yet accurate dispersion model called the exchangedipole model (XDM) [168, 220]. In this model the dispersion attraction emerges from the interaction between the instantaneous dipole moment of the exchange hole in one molecule and the induced dipole moment in another. It is a conceptually simple but powerful approach that has been shown to yield very accurate dispersion coefficients without fitting parameters. This allows the calculation of both intermolecular and intramolecular dispersion interactions within a single DFT framework. The implementation and validation of this method in the QChem code is described in Ref. Kong:2009.
Fundamental to the XDM model is the calculation of the norm of the dipole moment of the exchange hole at a given point:
(4.67) 
where labels the spin and is the exchangehole function. The XDM version that is implemented in QChem employs the BeckeRoussel (BR) model exchangehole function. In previous work on the BR model, was not available in analytical form and one had to determine its value numerically at each grid point. QChem has developed for the first time an analytical expression for this function based on nonlinear interpolation and spline techniques, which greatly improves efficiency as well as the numerical stability [221].
There are two different damping functions used in the XDM model of Becke and Johnson. One of them uses only the intermolecular dispersion coefficient, and its implementation in QChem is denoted as "XDM6". In this version the dispersion energy is computed as
(4.68) 
where is a universal parameter, is the distance between atoms and , and is the sum of the absolute values of the correlation energies of the free atoms and . The dispersion coefficients is computed as
(4.69) 
where is the exchangehole dipole moment of the atom, and is the effective polarizability of the atom in the molecule.
The XDM6 scheme can be further generalized to include higherorder dispersion coefficients, which leads to the “XDM10” model in QChem, whose dispersion energy is
(4.70) 
where , and are dispersion coefficients computed using higherorder multipole moments of the exchange hole, including dipole, quadrupole and octupole) [222]. The quantity is the sum of the effective vdW radii of atoms and , which is a linear function
(4.71) 
of the so called critical distance between atoms and , computed according to
(4.72) 
In the XDM10 scheme there are two universal parameters, and . Their default values of 0.83 and 1.35, respectively, are due to Johnson and Becke [220], determined by leastsquares fitting to the binding energies of a set of intermolecular complexes. These values are not the only possible optimal set to use with XDM. Becke’s group later suggested several other XC functional combinations with XDM that employ different values of and . The user is advised to consult the recent literature for details [223, 224].
The computed vdW energy is added as a postSCF correction. Analytic gradients and Hessians are available for both XDM6 and XDM10. Additional job control and customization options are listed below.
DFTVDW_JOBNUMBER
Basic vdW job control
TYPE:
INTEGER
DEFAULT:
0
OPTIONS:
0
Do not apply the XDM scheme.
1
Add vdW as energy/gradient correction to SCF.
2
Add vDW as a DFT functional and do full SCF (this option only works with XDM6).
RECOMMENDATION:
None
DFTVDW_METHOD
Choose the damping function used in XDM
TYPE:
INTEGER
DEFAULT:
1
OPTIONS:
1
Use Becke’s damping function including term only.
2
Use Becke’s damping function with higherorder ( and ) terms.
RECOMMENDATION:
None
DFTVDW_MOL1NATOMS
The number of atoms in the first monomer in dimer calculation
TYPE:
INTEGER
DEFAULT:
0
OPTIONS:
0–
RECOMMENDATION:
None
DFTVDW_KAI
Damping factor for only damping function
TYPE:
INTEGER
DEFAULT:
800
OPTIONS:
10–1000
RECOMMENDATION:
None
DFTVDW_ALPHA1
Parameter in XDM calculation with higherorder terms
TYPE:
INTEGER
DEFAULT:
83
OPTIONS:
101000
RECOMMENDATION:
None
DFTVDW_ALPHA2
Parameter in XDM calculation with higherorder terms.
TYPE:
INTEGER
DEFAULT:
155
OPTIONS:
101000
RECOMMENDATION:
None
DFTVDW_USE_ELE_DRV
Specify whether to add the gradient correction to the XDM energy. only valid with Becke’s damping function using the interpolated BR89 model.
TYPE:
LOGICAL
DEFAULT:
1
OPTIONS:
1
Use density correction when applicable.
0
Do not use this correction (for debugging purposes).
RECOMMENDATION:
None
DFTVDW_PRINT
Printing control for VDW code
TYPE:
INTEGER
DEFAULT:
1
OPTIONS:
0
No printing.
1
Minimum printing (default)
2
Debug printing
RECOMMENDATION:
None
Example 4.30 Sample input illustrating a frequency calculation of a vdW complex consisted of He atom and N molecule.
$molecule 0 1 He 0.000000 0.00000 3.800000 N 0.000000 0.000000 0.546986 N 0.000000 0.000000 0.546986 $end $rem JOBTYPE FREQ IDERIV 2 EXCHANGE B3LYP INCDFT 0 SCF_CONVERGENCE 8 BASIS 631G* !vdw parameters settings DFTVDW_JOBNUMBER 1 DFTVDW_METHOD 1 DFTVDW_PRINT 0 DFTVDW_KAI 800 DFTVDW_USE_ELE_DRV 0 $end
XDM can be used in conjunction with different GGA, metaGGA pure or hybrid functionals, even though the original implementation of Becke and Johnson was in combination with HF exchange, or with a specific metaGGA exchange and correlation (the BR89 exchange and BR94 correlation functionals). For example, encouraging results have been obtained using XDM with B3LYP [221]. Becke has found more recently that this model can be efficiently combined with the P86 exchange functional, with the hyperGGA functional B05. Using XDM together with PBE exchange plus LYP correlation, or PBE exchange plus BR94 correlation, has been also found fruitful.
The recent advance in doublehybrid density functional theory (DHDFT) [158, 225, 226, 227, 156], has demonstrated its great potential for approaching the chemical accuracy with a computational cost comparable to the secondorder MøllerPlesset perturbation theory (MP2). In a DHDFT, a KohnSham (KS) DFT calculation is performed first, followed by a treatment of nonlocal orbital correlation energy at the level of secondorder MøllerPlesset perturbation theory (MP2) [228]. This MP2 correlation correction includes a a samespin (ss) component, , as well as an oppositespin (os) component, , which are added to the total energy obtained from the KSDFT calculation. Two scaling parameters, and , are introduced in order to avoid doublecounting correlation:
(4.73) 
A starting point for understanding where a functional form like Eq. eq:dft2a might come from is the adiabatic connection formula that provides a rigorous way to define doublehybrid functionals. One considers an adiabatic path between the fictitious noninteracting KohnSham reference system () and the real physical system (), while holding the electron density fixed at its value for the real system, for all . Then
(4.74) 
where is the exchangecorrelation energy at a coupling strength , meaning that the exchangecorrelation energy if the electron–electron terms in the Hamiltonian had the form rather than . Using a linear model of this quantity,
(4.75) 
one obtains the popular hybrid functional that includes the HF exchange (or occupied orbitals) such as B3LYP [31, 32]. If one further uses the GorlingLevy’s perturbation theory (GL2) to define the initial slope at = 0, one obtains the doubly hybrid functional form in Eq. eq:dft2a that includes MP2 type perturbative terms (PT2) involving virtual KohnSham orbitals [229]:
(4.76) 
The adiabatic connection formula has been used to develop double hybrid functionals such as XYG3 [156]. Note that XYG3, as implemented in QChem, uses B3LYP orbitals to generate the density and evaluate the PT2 terms. This is different from B2PLYP, an earlier doubly hybrid functional from Grimme [158]. The latter uses truncated KohnSham orbitals while XYG3 uses converged KS orbitals to evaluate the PT2 terms. The performance of XYG3 is not only comparable to that of the G2 or G3 theory for thermochemistry, but barrier heights and noncovalent interactions, including stacking interactions, are also very well described by XYG3 [156]. The recommended basis set for XYG3 is 6311+G(3df,2p).
Due to the inclusion of PT2 terms, the cost of doublehybrid calculations is formally , as in conventional MP2, thereby not applicable to large systems and partly losing DFT’s cost advantages. However, the highly successful SOSMP2 and local SOSMP2 algorithms in QChem can be leveraged to develop doublehybrid functionals based on these methods. A version of XYG3 that uses SOSMP2 is the XYGJOS functional [157]. This functional has 4 parameters that are optimized using thermochemical data. It is not only faster than XYG3, but comparable to XYG3 (or perhaps slightly better) in accuracy. If the local SOSMP2 algorithm is applied, the scaling of XYGJOS is further reduced to . Recently, XYGJOS became the first doublehybrid functional whose analytic energy gradient has been derived and implemented [230].
Other more empirical doublehybrid functionals have been implemented in QChem. Among the B97 series of functionals, B97X2 [155] is a longrange corrected double hybrid that can greatly reduce the selfinteraction errors (due to its high fraction of HF exchange), and has been shown significantly superior to other functionals for systems with both bonded and nonbonded interactions. Due to the sensitivity of PT2 correlation energy with respect to the choices of basis sets, B97X2 was parameterized with two different basis sets: the B97X2(LP) was parameterized for use with 6311++G(3df,3pd), while B97X2(TQZ) was parameterized with the T/Q (triple/quadruple) extrapolation to the basis set limit. A careful reading of Ref. Chai:2009 is highly advised before using either of these two functionals.
Job control variables for doublehybrid DFT are described below. Note that the PT2 correlation energy can also be computed with the efficient resolutionofidentity (RI) methods; see Section 5.6.
DH
Controls the application of DHDFT scheme.
TYPE:
LOGICAL
DEFAULT:
FALSE
OPTIONS:
FALSE (or 0)
Do not apply the DHDFT scheme
TRUE (or 1)
Apply DHDFT scheme
RECOMMENDATION:
NONE
The following to $rem variables pertain to the B97X2(LP) and B97X2(TQZ) functionals.
SSS_FACTOR
Controls the strength of the samespin component of PT2 correlation energy.
TYPE:
INTEGER
DEFAULT:
0
OPTIONS:
Corresponding to in Eq. (4.73).
RECOMMENDATION:
NONE
SOS_FACTOR
Controls the strength of the oppositespin component of PT2 correlation energy.
TYPE:
INTEGER
DEFAULT:
0
OPTIONS:
Corresponding to in Eq. (4.73).
RECOMMENDATION:
NONE
Example 4.31 Applications of B2PLYP functional to LiH.
$comment Singlepoint calculation on LiH without RI, followed by a singlepoint calculation with RI. $end $molecule 0 1 H Li H 1.6 $end $rem JOBTYPE sp EXCHANGE B2PLYP BASIS ccpvtz $end @@@ $molecule read $end $rem JOBTYPE sp EXCHANGE B2PLYP BASIS ccpvtz AUX_BASIS rimp2ccpvtz $end
Example 4.32 Application of B97X2(TQZ) functional (with and without RI) to LiH molecules.
$comment Singlepoint calculation on LiH (with RI). $end $molecule 0 1 H Li H 1.6 $end $rem JOBTYPE sp EXCHANGE omegaB97X2(TQZ) BASIS ccpvqz AUX_BASIS rimp2ccpvqz $end @@@ $comment Singlepoint calculation on LiH (without RI). $end $molecule read $end $rem JOBTYPE sp EXCHANGE omegaB97X2(TQZ) BASIS ccpvqz $end
In the following example of XYG3, QChem automatically performs a B3LYP calculation first, then uses the resulting orbitals to evaluate the PT2 correlation terms. Once can also use XYG3 combined with the RI approximation; use EXCHANGE = XYG3RI to do so, along with an appropriate choice of auxiliary basis set.
Example 4.33 XYG3 calculation of N
$molecule 0 1 N 0.000000 0.000000 0.547775 N 0.000000 0.000000 0.547775 $end $rem EXCHANGE xyg3 BASIS 6311+G(3df,2p) $end
The next example illustrates XYGJOS. This functional uses the RI approximation by default, so it is necessary to specify an auxiliary basis set.
Example 4.34 XYGJOS calculation of N
$molecule 0 1 N 0.000000 0.000000 0.547775 N 0.000000 0.000000 0.547775 $end $rem EXCHANGE xygjos BASIS 6311+G(3df,2p) AUX_BASIS rimp2ccpVtZ PURECART 1111 TIME_MP2 true $end
The final example uses the local version of XYGJOS, which is the same as the original XYGJOS but with the use of the attenuated Coulomb metric to solve the RI coefficients. Here, the keyword omega determines the locality of the metric.
Example 4.35 Local XYGJOS calculation of N
$molecule 0 1 N 0.000 0.000 0.54777500 N 0.000 0.000 0.54777500 $end $rem EXCHANGE lxygjos OMEGA 200 BASIS 6311+G(3df,2p) AUX_BASIS rimp2ccpVtZ PURECART 1111 $end
No GGA exchange functional can simultaneously produce the correct contribution to the exchange energy density and exchange potential in the asymptotic region of molecular systems [231], and existing GGA exchangecorrelation (XC) potentials decay much faster than the correct XC potential in the asymptotic region [232]. Highlying occupied orbitals and lowlying virtual orbitals are therefore too loosely bound, and becomes far smaller than the ionization energy, despite the exact condition that these should be the same for the exact functional [205, 206]. Moreover, response properties may be poorly predicted from TDDFT calculations with GGA functionals [205]. Longrange corrected hybrid DFT (LRCDFT), described in Section 4.4.6, has greatly remedied this situation, but is more expensive that KSDFT with GGA functionals due to the use of HatreeFock exchange. The asymptotic corrections described in this section are designed to remedy the same problems but within the GGA framework.
An asymptotically corrected (AC) exchange potential proposed by van Leeuwen and Baerends is [231]
(4.77) 
where is the reduced density gradient. For an exponentiallydecaying density, this potential reduces to in the asymptotic region of molecular systems. The LB94 xc potential is formed by a linear combination of LDA XC potential and the LB exchange potential [231]:
(4.78) 
The parameter in Eq. eq:vx_LB was determined by fitting to the exact XC potential for Be atom. As mentioned in Refs. Casida:1998 and Hirata:1999b, for TDDFT calculations, it is sufficient to include the AC XC potential for groundstate calculations followed by TDDFT calculations with an adiabatic LDA XC kernel. The implementation of the LB94 XC potential in QChem takes this approach, using the LB94 XC potential for the ground state calculations, followed by a TDDFT calculation with an adiabatic LDA XC kernel. This TDLDA/LB94 approach has been widely applied to study excitedstate properties of large molecules.
Since the LB exchange potential in Eq. eq:vx_LB does not come from the functional derivative of an exchange energy functional, the LevyPerdew virial relation [235] is used instead to obtain the exchange energy:
(4.79) 
An LB94 calculation is requested by setting EXCHANGE = LB94 in the $rem section. Additional job control and examples appear below.
LB94_BETA
Sets the parameter for the LB94 XC potential
TYPE:
INTEGER
DEFAULT:
500
OPTIONS:
Corresponding to .
RECOMMENDATION:
Use the default.
Example 4.36 Applications of LB94 XC potential to N molecule.
$comment TDLDA/LB94 calculation is performed for excitation energies. $end $molecule 0 1 N 0.0000 0.0000 0.0000 N 1.0977 0.0000 0.0000 $end $rem JOBTYPE = sp EXCHANGE = lb94 BASIS = 6311(2+,2+)G** CIS_N_ROOTS = 30 RPA = true $end
Another alternative, proposed by Pan, Fang and Chai [236], is to use a localized version of FermiAmaldi exchangecorrelation functional. The resulting exchange density functional, whose functional derivative has the correct asymptotic behavior, can be directly added to any semilocal density functional. Three variants of this method were proposed in Ref. Chai:2013b. The simplest of these, the strictlylocalized FermiAmaldi (LFAs) scheme, is implemented in QChem, for molecules consisting of atoms with .
Example 4.37 LFAsPBE singlepoint TDDFT calculation with water molecule
$comment Use LFAsPBE potential for groundstate calculations, followed by TDDFT calculations with an adiabatic PBE XC kernel. $end $molecule 0 1 O H1 O oh H2 O oh H1 hoh oh = 1.0 hoh = 110.0 $end. $rem JOBTYPE sp EXCHANGE gen BASIS 6311(2+,2+)G** CIS_N_ROOTS 30 RPA true $end $xc_functional X PBE 1.0 C PBE 1.0 X LFAs 1.0 $end
From the perspective of perturbation theory, Chai and Chen [237] proposed a systematic procedure for the evaluation of the derivative discontinuity of the exchangecorrelation energy functional in KSDFT, wherein the exact derivative discontinuity can in principle be obtained by summing up all the perturbation corrections to infinite order. Truncation of the perturbation series at low order yields an efficient scheme for obtaining the approximate derivative discontinuity. In particular, the firstorder correction term is equivalent to the frozenorbital approximation method. Its implementation in QChem supports only local and GGA functionals at present, not metaGGA, hybrid, or nonlocal functionals. Job control variables and examples appear below.
FOA_FUNDGAP
Compute the frozenorbital approximation of the fundamental gap.
TYPE:
Boolean
DEFAULT:
FALSE
OPTIONS:
FALSE
Do not compute FOA derivative discontinuity and fundamental gap.
TRUE
Compute and print FOA fundamental gap information. Implies KS_GAP_PRINT.
RECOMMENDATION:
Use in conjunction with KS_GAP_UNIT if true.
Example 4.38 frozenorbital approximation of derivative discontinuity with PBE and LFAsPBE functionals on carbon atom
$comment Frozenorbital derivative discontinuity, C atom, PBE $end $molecule 0 3 C $end $rem JOBTYPE sp BASIS 631G* METHOD PBE FOA_FUNDGAP true KS_GAP_UNIT 1 ! print gap info in eV $end @@@ $comment with LFAsPBE functional instead $end $molecule READ $end $rem JOBTYPE sp BASIS 631G* SCF_GUESS READ EXCHANGE gen FOA_FUNDGAP true KS_GAP_UNIT 1 $end $xc_functional X PBE 1.0 X LFAs 1.0 C PBE 1.0 $end
Aiming to study the groundstate properties of large, strongly correlated systems with minimum computational complexity, Prof. JengDa Chai recently developed thermallyassistedoccupation density functional theory (TAODFT) [238]. Unlike conventional multireference methods, the computational complexity of TAODFT increases very insignificantly with the size of the active space (i.e., an active space restriction is not needed for TAODFT calculations), and TAODFT appears to be very promising for the study of large polyradical systems. TAODFT is a DFT scheme with fractional orbital occupations produced by the FermiDirac distribution, controlled by a fictitious temperature , and existing XC functionals (e.g., LDA or GGAs) can be used in TAODFT [239]. The computational cost of the method is similar to that of KSDFT for singlepoint energy calculations and analytical nuclear gradients, and reduces to the cost of KSDFT in the absence of strong static correlation effects.
There are several $rem variables that are used for TAODFT.
TAO_DFT
Controls whether to use TAODFT.
TYPE:
Boolean
DEFAULT:
false
OPTIONS:
false
Do not use TAODFT
true
Use TAODFT
RECOMMENDATION:
NONE
TAO_DFT_THETA
Controls the value of the fictitious temperature in TAODFT.
TYPE:
INTEGER
DEFAULT:
7
OPTIONS:
(hartrees), where is the value of TAO_DFT_THETA_NDP
RECOMMENDATION:
NONE
TAO_DFT_THETA_NDP
Controls the value of the fictitious temperature in TAODFT.
TYPE:
INTEGER
DEFAULT:
3
OPTIONS:
(hartrees), where is the value of TAO_DFT_THETA
RECOMMENDATION:
NONE
Note that setting TAO_DFT_THETA = 0 recovers ordinary KSDFT [238]. In addition to the XC functional, a functional is needed in TAODFT. Currently available in QChem are an LDA version [238] (the ETheta_LDA functional) as well as a version based on the gradient expansion approximation (GEA) [239] (ETheta_GEA functional), and the latter may be substituted for the former in the sample jobs below.
Example 4.39 TAOLDA calculation on Be atom
$molecule 0 1 Be $end $rem JOBTYPE sp BASIS 631G* EXCHANGE gen TAO_DFT true TAO_DFT_THETA 7 ! default, theta=7 mhartree TAO_DFT_THETA_NDP 3 ! default $end $xc_functional X S 1.0 C PW92 1.0 X ETheta_LDA 1.0 $end
Example 4.40 TAOPBE, spinrestricted calculation on stretched N
$molecule 0 1 N1 N2 N1 5 $end $rem JOBTYPE sp BASIS 631G* EXCHANGE gen TAO_DFT true TAO_DFT_THETA 40 ! theta = 40 mhartree TAO_DFT_THETA_NDP 3 $end $xc_functional X PBE 1.0 C PBE 1.0 X ETheta_LDA 1.0 $end
Example 4.41 TAOPBE, spinunrestricted calculation on stretched N
$molecule 0 1 N1 N2 N1 5 $end $rem JOBTYPE opt UNRESTRICTED true BASIS 631G* EXCHANGE gen TAO_DFT true TAO_DFT_THETA 40 ! theta = 40 mhartrees TAO_DFT_THETA_NDP 3 ! can omit this line SCF_GUESS gwh SCF_GUESS_MIX 3 ! mix in 30% LUMO in alpha to break symmetry $end $xc_functional X PBE 1.0 C PBE 1.0 X ETheta_LDA 1.0 $end