Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates
Simulations of light-induced molecular conformational transformations have traditionally been limited to a single degree of freedom because of the complexity of potential energy calculations. We propose a method of simulation that incrementally builds a surrogate for the potential energy function by...
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2012-12-01
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Series: | Journal of Algorithms & Computational Technology |
Online Access: | https://doi.org/10.1260/1748-3018.6.4.577 |
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doaj-88335e19c6a24cae83c6c1be85bb98392020-11-25T03:45:05ZengSAGE PublishingJournal of Algorithms & Computational Technology1748-30181748-30262012-12-01610.1260/1748-3018.6.4.577Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse SurrogatesDavid MokrauerC. T. KelleyAlexei Bykhovski0 One of the authors (D. Mokrauer) is grateful for the mentoring assistance provided by Dr. D. L. Woolard, of the U.S. Army Research Office, in the preparation of this paperSimulations of light-induced molecular conformational transformations have traditionally been limited to a single degree of freedom because of the complexity of potential energy calculations. We propose a method of simulation that incrementally builds a surrogate for the potential energy function by computing gridpoints in parallel. We incorporate Smolyak's algorithm for sparse interpolation as the energy surrogates since it keeps the number of gridpoints at a manageable number. Our multi-dimensional algorithm is applied to the molecule 2-butene whose transition path is well known.https://doi.org/10.1260/1748-3018.6.4.577 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
David Mokrauer C. T. Kelley Alexei Bykhovski |
spellingShingle |
David Mokrauer C. T. Kelley Alexei Bykhovski Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates Journal of Algorithms & Computational Technology |
author_facet |
David Mokrauer C. T. Kelley Alexei Bykhovski |
author_sort |
David Mokrauer |
title |
Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates |
title_short |
Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates |
title_full |
Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates |
title_fullStr |
Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates |
title_full_unstemmed |
Simulations of Light-Induced Molecular Transformations in Multiple Dimensions with Incremental Sparse Surrogates |
title_sort |
simulations of light-induced molecular transformations in multiple dimensions with incremental sparse surrogates |
publisher |
SAGE Publishing |
series |
Journal of Algorithms & Computational Technology |
issn |
1748-3018 1748-3026 |
publishDate |
2012-12-01 |
description |
Simulations of light-induced molecular conformational transformations have traditionally been limited to a single degree of freedom because of the complexity of potential energy calculations. We propose a method of simulation that incrementally builds a surrogate for the potential energy function by computing gridpoints in parallel. We incorporate Smolyak's algorithm for sparse interpolation as the energy surrogates since it keeps the number of gridpoints at a manageable number. Our multi-dimensional algorithm is applied to the molecule 2-butene whose transition path is well known. |
url |
https://doi.org/10.1260/1748-3018.6.4.577 |
work_keys_str_mv |
AT davidmokrauer simulationsoflightinducedmoleculartransformationsinmultipledimensionswithincrementalsparsesurrogates AT ctkelley simulationsoflightinducedmoleculartransformationsinmultipledimensionswithincrementalsparsesurrogates AT alexeibykhovski simulationsoflightinducedmoleculartransformationsinmultipledimensionswithincrementalsparsesurrogates |
_version_ |
1724511521209319424 |