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  Analytic nuclear forces and molecular properties from full configuration interaction quantum Monte Carlo

Thomas, R., Opalka, D., Overy, C., Knowles, P., Alavi, A., & Booth, G. (2015). Analytic nuclear forces and molecular properties from full configuration interaction quantum Monte Carlo. The Journal of Chemical Physics, 143(5): 054108.

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Thomas, R., Author
Opalka, D., Author
Overy, C., Author
Knowles, P., Author
Alavi, A.1, Author           
Booth, G., Author
Affiliations:
1Department Electronic Structure Theory (Ali Alavi), Max Planck Institute for Solid State Research, Max Planck Society, ou_3370479              

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 Abstract: Unbiased stochastic sampling of the one-and two-body reduced density matrices is achieved in full configuration interaction quantum Monte Carlo with the introduction of a second, "replica" ensemble of walkers, whose population evolves in imaginary time independently from the first and which entails only modest additional computational overheads. The matrices obtained from this approach are shown to be representative of full configuration-interaction quality and hence provide a realistic opportunity to achieve high-quality results for a range of properties whose operators do not necessarily commute with the Hamiltonian. A density-matrix formulated quasi-variational energy estimator having been already proposed and investigated, the present work extends the scope of the theory to take in studies of analytic nuclear forces, molecular dipole moments, and polarisabilities, with extensive comparison to exact results where possible. These new results confirm the suitability of the sampling technique and, where sufficiently large basis sets are available, achieve close agreement with experimental values, expanding the scope of the method to new areas of investigation. (C) 2015 AIP Publishing LLC.

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Language(s): eng - English
 Dates: 2015
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Internal
 Identifiers: eDoc: 713720
ISI: 000359377200012
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Title: The Journal of Chemical Physics
Source Genre: Journal
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Pages: - Volume / Issue: 143 (5) Sequence Number: 054108 Start / End Page: - Identifier: ISSN: 0021-9606