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:
-
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Theoretical Division
- Publication Date:
- Research Org.:
- Los Alamos National Laboratory (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. https://doi.org/10.1063/1.4948303
Leiding, Jeff, and Coe, Joshua D. Wed .
"Reactive Monte Carlo sampling with an ab initio potential". United States. https://doi.org/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 = {Wed May 04 00:00:00 EDT 2016},
month = {Wed May 04 00:00:00 EDT 2016}
}
Web of Science
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