4.7 Article

QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo

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JOURNAL OF CHEMICAL PHYSICS
卷 152, 期 17, 页码 -

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AMER INST PHYSICS
DOI: 10.1063/5.0004860

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资金

  1. U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, as part of the Computational Materials Sciences Program
  2. U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Sciences and Engineering Division, Center for Predictive Simulation of Functional Materials
  3. Exascale Computing Project [17-SC-20-SC]
  4. U.S. Department of Energy Office of Science
  5. National Nuclear Security Administration
  6. NSF [CHE-1762337, DMR-1726213]
  7. U.S. Department of Energy by Lawrence Livermore National Laboratory [DEAC52-07NA27344, 15-ERD-013]
  8. Dalton Fellowship at the University of Washington
  9. DOE Office of Science User Facility [DE-AC02-06CH11357, DE-AC05-00OR22725]
  10. U.S. Department of Energy's National Nuclear Security Administration [DE-NA0003525]
  11. U.S. Department of Energy [DE-AC0500OR22725]

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We review recent advances in the capabilities of the open source ab initio Quantum Monte Carlo (QMC) package QMCPACK and the workflow tool Nexus used for greater efficiency and reproducibility. The auxiliary field QMC (AFQMC) implementation has been greatly expanded to include k-point symmetries, tensor-hypercontraction, and accelerated graphical processing unit (GPU) support. These scaling and memory reductions greatly increase the number of orbitals that can practically be included in AFQMC calculations, increasing the accuracy. Advances in real space methods include techniques for accurate computation of bandgaps and for systematically improving the nodal surface of ground state wavefunctions. Results of these calculations can be used to validate application of more approximate electronic structure methods, including GW and density functional based techniques. To provide an improved foundation for these calculations, we utilize a new set of correlation-consistent effective core potentials (pseudopotentials) that are more accurate than previous sets; these can also be applied in quantum-chemical and other many-body applications, not only QMC. These advances increase the efficiency, accuracy, and range of properties that can be studied in both molecules and materials with QMC and QMCPACK.

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