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Density functional theory based effective fragment potential method

Authors: Adamovic, Ivana; Freitag, Mark; Gordon, Mark;

Density functional theory based effective fragment potential method

Abstract

The effective fragment potential (EFP) method, is a discrete method for the treatment of solvent effects, originally formulated using Hartree–Fock (HF) theory. Here, a density functional theory (DFT) based implementation of the EFP method is presented for water as a solvent. In developing the DFT based EFP method for water, all molecular properties (multipole moments, polarizability tensors, screening parameters, and fitting parameters for the exchange repulsion potential) are recalculated and optimized, using the B3LYP functional. Initial tests for water dimer, small water clusters, and the glycine–water system show good agreement with ab initio and DFT calculations. Several computed properties exhibit marked improvement relative to the Hartree–Fock based method, presumably because the DFT based method includes some dynamic electron correlation through the corresponding functional.

Country
United States
Related Organizations
Keywords

Chemistry, Discrete systems, Electron correlation calculations, Density functional theory, Solvents, Ab initio calculations, 540

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
118
Top 10%
Top 10%
Top 10%
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