Improved sampling and validation of frozen Gaussian approximation with surface hopping algorithm for nonadiabatic dynamics.

dc.contributor.author

Lu, Jianfeng

dc.contributor.author

Zhou, Zhennan

dc.coverage.spatial

United States

dc.date.accessioned

2017-04-26T18:17:50Z

dc.date.available

2017-04-26T18:17:50Z

dc.date.issued

2016-09-28

dc.description.abstract

In the spirit of the fewest switches surface hopping, the frozen Gaussian approximation with surface hopping (FGA-SH) method samples a path integral representation of the non-adiabatic dynamics in the semiclassical regime. An improved sampling scheme is developed in this work for FGA-SH based on birth and death branching processes. The algorithm is validated for the standard test examples of non-adiabatic dynamics.

dc.identifier

https://www.ncbi.nlm.nih.gov/pubmed/27782634

dc.identifier.eissn

1089-7690

dc.identifier.uri

https://hdl.handle.net/10161/14114

dc.language

eng

dc.publisher

AIP Publishing

dc.relation.ispartof

J Chem Phys

dc.relation.isversionof

10.1063/1.4963107

dc.title

Improved sampling and validation of frozen Gaussian approximation with surface hopping algorithm for nonadiabatic dynamics.

dc.type

Journal article

duke.contributor.orcid

Lu, Jianfeng|0000-0001-6255-5165

pubs.author-url

https://www.ncbi.nlm.nih.gov/pubmed/27782634

pubs.begin-page

124109

pubs.issue

12

pubs.organisational-group

Chemistry

pubs.organisational-group

Duke

pubs.organisational-group

Mathematics

pubs.organisational-group

Physics

pubs.organisational-group

Trinity College of Arts & Sciences

pubs.publication-status

Published

pubs.volume

145

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