Literature DB >> 32384844

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

P R C Kent1, Abdulgani Annaberdiyev2, Anouar Benali3, M Chandler Bennett4, Edgar Josué Landinez Borda5, Peter Doak1, Hongxia Hao6, Kenneth D Jordan7, Jaron T Krogel4, Ilkka Kylänpää8, Joonho Lee9, Ye Luo3, Fionn D Malone5, Cody A Melton10, Lubos Mitas2, Miguel A Morales5, Eric Neuscamman6, Fernando A Reboredo7, Brenda Rubenstein11, Kayahan Saritas12, Shiv Upadhyay7, Guangming Wang2, Shuai Zhang13, Luning Zhao14.   

Abstract

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.

Entities:  

Year:  2020        PMID: 32384844     DOI: 10.1063/5.0004860

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Energy Derivatives in Real-Space Diffusion Monte Carlo.

Authors:  Jesse van Rhijn; Claudia Filippi; Stefania De Palo; Saverio Moroni
Journal:  J Chem Theory Comput       Date:  2021-12-20       Impact factor: 6.006

2.  In silico prediction of annihilators for triplet-triplet annihilation upconversion via auxiliary-field quantum Monte Carlo.

Authors:  John L Weber; Emily M Churchill; Steffen Jockusch; Evan J Arthur; Andrew B Pun; Shiwei Zhang; Richard A Friesner; Luis M Campos; David R Reichman; James Shee
Journal:  Chem Sci       Date:  2020-11-17       Impact factor: 9.825

  2 in total

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