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Abstract
We report a scalable Fortran implementation of the phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) and demonstrate its excellent performance and beneficial scaling with respect to system size. Furthermore, we investigate modifications of the phaseless approximation that can help to reduce the overcorrelation problems common to the ph-AFQMC. We apply the method to the 26 molecules in the HEAT set, the benzene molecule, and water clusters. We observe a mean absolute deviation of the total energy of 1.15 kcal/mol for the molecules in the HEAT set, close to chemical accuracy. For the benzene molecule, the modified algorithm despite using a single-Slater-determinant trial wavefunction yields the same accuracy as the original phaseless scheme with 400 Slater determinants. Despite these improvements, we find systematic errors for the CN, CO2, and O2 molecules that need to be addressed with more accurate trial wavefunctions. For water clusters, we find that the ph-AFQMC yields excellent binding energies that differ from CCSD(T) by typically less than 0.5 kcal/mol.
Originalsprache | Englisch |
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Seiten (von - bis) | 4921–4934 |
Seitenumfang | 14 |
Fachzeitschrift | Journal of Chemical Theory and Computation |
Jahrgang | 19 |
Ausgabenummer | 15 |
Frühes Online-Datum | Juli 2023 |
DOIs | |
Publikationsstatus | Veröffentlicht - 8 Aug. 2023 |
ÖFOS 2012
- 103043 Computational Physics
- 103006 Chemische Physik
Projekte
- 1 Laufend
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Auxiliary field quantum Monte Carlo in der PAW Methode
1/08/20 → 31/07/25
Projekt: Forschungsförderung