QC-PBC: Extending Q-Chem to Materials

 

Q-Chem is pleased to introduce QC-PBC: An effective and parallel GTO-based periodic code for accurate ab initio materials modeling. Core capabilities of QC-PBC include:

  • Energies
  • Band structures
  • Geometry optimization
  • Implicit solvation methods
  • Fully analytic frequency and phonon calculations
  • Energy decomposition analysis tools

Water on graphene

 



Features Included in QC-PBC

Density Functional Theory

  • Broad library of DFT functionals, including hybrid functionals
  • OpenMP and MPI parallel implementations
  • Fastest integral libraries
  • GPW 
  • Density fitting

Post-HF Methods

  • MP2, LT-MP2, and MP3
  • BW-s2
  • dRPA
  • CCSD, CCSD(T), and CCSDT (gamma-point only)

Excited-State Methods

  • CIS
  • TDDFT

Analytic Frequency & Phonon Calculations

Solvation Methods

  • LPCM
  • NLPCM
  • CANDLE
  • Finite-temperature grand-canonical DFT for solid-liquid interfaces

Other Features

  • Energy decomposition analysis (EDA)
  • Scalar and relativistic effects via X2c1e
  • Mulliken population analysis
  • Localization methods
  • Python interfaces enable interfacing to workflows and machine learning packages like PyTorch

A One-Stop Shop for Computational Chemistry

Q-Chem 7.0 includes modules for molecular, material, and biomolecular modeling with no additional licensing.

 

Graphic showing the parallel scaling of QCPBC

QC-PBC demonstrates good parallel scaling, as shown in these Fock build benchmarks for SiC. Results are shown for several different density functionals with a triple-zeta basis set.


Recent QC-PBC Publications

 

Regularized Perturbation Theory for Ab Initio Solids. Meng-Fu Chen, Jinghong Zhang, Hieu Q. Dinh, Adam Rettig, and Joonho Lee. J. Phys. Chem. Lett. 2025, 16, 44, 11373–11381

MP2 in QC-PBC: Authors developed regularized second-order perturbative methods in the QC-PBC package, including BW-s2, which provides accurate results for metals, semiconductors, and molecular crystals. Read the paper here.

Chemical Origins of Non-Bonded Interactions Within and Between Solids. Paul J. Robinson, Adam Rettig, Hieu Q. Dinh, Anton Z. Ni, and Joonho Lee. Preprint (arXiv). 2026.

ALMO-EDA in QC-PBC: In this recent preprint, the developers of QC-PBC extend ALMO-EDA to solid-state systems. They use this approach to study non-bonded interactions in solids, including molecular crystals, moiré heterobilayers, and layered perovskite heterostructures. They glean useful insights that allow them to approach materials design with clear, chemically-intuitive understanding.

Gaussian-Based Periodic Grand Canonical Density Functional Theory with Implicit Solvation for Computational Electrochemistry. Anton Z. Ni, Adam Rettig, and Joonho Lee. Preprint (arXiv). 2025.

Modeling Electrochemistry at Solid-Liquid Interfaces: QC-PBC was recently used to model electrochemical reactions at solid-liquid interfaces! Developers introduced a numerical method for grand canonical density functional theory (DFT) for periodic systems in QC-PBC and then used their implementation, along with their implicit solvent modeling implementation, to model corrosion at silver surfaces.

Intrinsic bond orbitals (IBOs) for MgO

Intrinsic bond orbitals (IBOs) for MgO.

 



QC-PBC Webinar



Learn More About QC-PBC

 

 

Try QC-PBC for Free

Request a free demo license to try QC-PBC for one month on your own hardware!