Journal article
Fully quantum embedding with density functional theory for full configuration interaction quantum Monte Carlo
Journal of chemical theory and computation, Vol.15(10), pp.5332-5342
08/26/2019
DOI: 10.1021/acs.jctc.9b00571
PMID: 31449406
Abstract
In common with many high-accuracy electronic structure methods, the initiator adaptation of full configuration interaction quantum Monte Carlo (i-FCIQMC) has difficulty treating realistic systems with large numbers of electrons. This barrier has prevented the application of i-FCIQMC to questions of catalysis that, even for the simplest of models, require high-accuracy modeling of several features of the electronic structure, such as strong and dynamic correlation, and localized vs. delocalized bonding. We here present a fully-quantum embedded version of i-FCIQMC, which we apply to calculate the bond dissociation energy of an ionic bond (LiH) and a covalent bond (HF) physisorbed to a benzene molecule; to have two closed-shell sub-systems, we take the ionic products of dissociation in both cases. The embedding is performed using a recently-developed Huzinaga projection operator approach, which affords good synergy with i-FCIQMC by minimizing the number of orbitals in the calculation. We find that, without embedding, i-FCIQMC struggles to converge these calculations due to their substantial system sizes and a lack of error cancellation between reactants and products. With embedding, the i-FCIQMC calculation converges straightforwardly to CCSD(T) benchmarks. Our results suggest that embedded i-FCIQMC will be able treat system sizes well beyond our current reach (even though embedding introduces an error). We discuss how embedding might be improved (and thus the introduced error reduced) using i-FCIQMC energies as benchmarks.
Details
- Title: Subtitle
- Fully quantum embedding with density functional theory for full configuration interaction quantum Monte Carlo
- Creators
- Hayley R PetrasDaniel Graham - University of MinnesotaSai Kumar Ramadugu - University of Iowa, ITS Research ServicesJason D Goodpaster - University of MinnesotaJames J Shepherd - University of Iowa, Chemistry
- Resource Type
- Journal article
- Publication Details
- Journal of chemical theory and computation, Vol.15(10), pp.5332-5342
- DOI
- 10.1021/acs.jctc.9b00571
- PMID
- 31449406
- NLM abbreviation
- J Chem Theory Comput
- eISSN
- 1549-9626
- Publisher
- American Chemical Society; United States
- Grant note
- DOI: 10.13039/100008893, name: University of Iowa; DOI: 10.13039/100000015, name: U.S. Department of Energy, award: DE-AC02-05CH11231, DE-FG02-17ER16362
- Language
- English
- Date published
- 08/26/2019
- Academic Unit
- Chemistry; ITS Research Services
- Record Identifier
- 9983706699402771
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