QMCPACK
QMCPACK performs ab initio Quantum Monte Carlo (QMC) simulations to compute high-precision electronic structure properties of molecules and materials.
Key Features:
- Auxiliary-Field Quantum Monte Carlo (AFQMC) Enhancements: AFQMC implementation includes k-point symmetries and tensor-hypercontraction to reduce scaling and memory requirements and enable inclusion of more orbitals.
- GPU Acceleration: Accelerated graphical processing unit (GPU) support increases computational throughput for QMC simulations.
- Real-Space Method Advancements: Real-space methods improve bandgap calculations and systematically refine nodal surfaces of ground state wavefunctions to support benchmarking of approximate methods such as GW and DFT.
- Correlation-Consistent Effective Core Potentials: A new set of correlation-consistent effective core pseudopotentials provides improved accuracy and compatibility with many-body applications beyond QMC.
Scientific Applications:
- High-precision electronic structure: Calculation of electronic properties for molecules and materials using QMC approaches.
- Validation of approximate methods: Benchmarking and validation of GW and density functional theory (DFT) results.
- Bandgap calculations: Accurate computation of bandgaps in materials.
- Ground state wavefunction analysis: Investigation and systematic improvement of nodal surfaces of ground state wavefunctions.
Methodology:
Implements AFQMC with k-point symmetries and tensor-hypercontraction, real-space QMC methods, GPU-accelerated computation, and the use of correlation-consistent effective core pseudopotentials, with integration support for Nexus workflows.
Topics
Details
- Programming Languages:
- C++, Python
- Added:
- 1/18/2021
- Last Updated:
- 1/31/2021
Operations
Publications
Kent PRC, Annaberdiyev A, Benali A, Bennett MC, Landinez Borda EJ, Doak P, Hao H, Jordan KD, Krogel JT, Kylänpää I, Lee J, Luo Y, Malone FD, Melton CA, Mitas L, Morales MA, Neuscamman E, Reboredo FA, Rubenstein B, Saritas K, Upadhyay S, Wang G, Zhang S, Zhao L. QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo. The Journal of Chemical Physics. 2020;152(17). doi:10.1063/5.0004860. PMID:32384844.