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Title: Reactive Monte Carlo sampling with an ab initio potential

Abstract

Here, we present the first application of reactive Monte Carlo in a first-principles context. The algorithm samples in a modified NVT ensemble in which the volume, temperature, and total number of atoms of a given type are held fixed, but molecular composition is allowed to evolve through stochastic variation of chemical connectivity. We also discuss general features of the method, as well as techniques needed to enhance the efficiency of Boltzmann sampling. Finally, we compare the results of simulation of NH3 to those of ab initio molecular dynamics (AIMD). Furthermore, we find that there are regions of state space for which RxMC sampling is much more efficient than AIMD due to the “rare-event” character of chemical reactions.

Authors:
 [1]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Division
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1340916
Alternate Identifier(s):
OSTI ID: 1250976
Report Number(s):
LA-UR-16-21006
Journal ID: ISSN 0021-9606
Grant/Contract Number:  
AC52-06NA25396; LA-UR-16-21006
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Chemical Physics
Additional Journal Information:
Journal Volume: 144; Journal Issue: 17; Journal ID: ISSN 0021-9606
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY

Citation Formats

Leiding, Jeff, and Coe, Joshua D. Reactive Monte Carlo sampling with an ab initio potential. United States: N. p., 2016. Web. doi:10.1063/1.4948303.
Leiding, Jeff, & Coe, Joshua D. Reactive Monte Carlo sampling with an ab initio potential. United States. doi:10.1063/1.4948303.
Leiding, Jeff, and Coe, Joshua D. Wed . "Reactive Monte Carlo sampling with an ab initio potential". United States. doi:10.1063/1.4948303. https://www.osti.gov/servlets/purl/1340916.
@article{osti_1340916,
title = {Reactive Monte Carlo sampling with an ab initio potential},
author = {Leiding, Jeff and Coe, Joshua D.},
abstractNote = {Here, we present the first application of reactive Monte Carlo in a first-principles context. The algorithm samples in a modified NVT ensemble in which the volume, temperature, and total number of atoms of a given type are held fixed, but molecular composition is allowed to evolve through stochastic variation of chemical connectivity. We also discuss general features of the method, as well as techniques needed to enhance the efficiency of Boltzmann sampling. Finally, we compare the results of simulation of NH3 to those of ab initio molecular dynamics (AIMD). Furthermore, we find that there are regions of state space for which RxMC sampling is much more efficient than AIMD due to the “rare-event” character of chemical reactions.},
doi = {10.1063/1.4948303},
journal = {Journal of Chemical Physics},
number = 17,
volume = 144,
place = {United States},
year = {2016},
month = {5}
}

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Cited by: 1 work
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