Force-field parametrization based on radial and energy distribution functions.
Ontology highlight
ABSTRACT: We propose a novel force-field-parametrization procedure that fits the parameters of potential functions in a manner that the pair distribution function (DF) of molecules derived from candidate parameters can reproduce the given target DF. Conventionally, approaches to minimize the difference between the candidate and target DFs employ radial DFs (RDF). RDF itself has been reported to be insufficient for uniquely identifying the parameters of a molecule. To overcome the weakness, we introduce energy DF (EDF) as a target DF, which describes the distribution of the pairwise energy of molecules. We found that the EDF responds more sensitively to a small perturbation in the pairwise potential parameters and provides better fitting accuracy compared to that of RDF. These findings provide valuab
SUBMITTER: Chiba S
PROVIDER: S-EPMC6790663 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
ACCESS DATA