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Title: Hyperdynamics boost factor achievable with an ideal bias potential

Abstract

Hyperdynamics is a powerful method to significantly extend the time scales amenable to molecular dynamics simulation of infrequent events. One outstanding challenge, however, is the development of the so-called bias potential required by the method. In this work, we design a bias potential using information about all minimum energy pathways (MEPs) out of the current state. While this approach is not suitable for use in an actual hyperdynamics simulation, because the pathways are generally not known in advance, it allows us to show that it is possible to come very close to the theoretical boost limit of hyperdynamics while maintaining high accuracy. We demonstrate this by applying this MEP-based hyperdynamics (MEP-HD) to metallic surface diffusion systems. In most cases, MEP-HD gives boost factors that are orders of magnitude larger than the best existing bias potential, indicating that further development of hyperdynamics bias potentials could have a significant payoff. Lastly, we discuss potential practical uses of MEP-HD, including the possibility of developing MEP-HD into a true hyperdynamics.

Authors:
 [1];  [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1239372
Alternate Identifier(s):
OSTI ID: 1229626
Report Number(s):
LA-UR-15-23354
Journal ID: ISSN 0021-9606; JCPSA6; TRN: US1600512
Grant/Contract Number:  
AC52-06NA25396
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Journal of Chemical Physics
Additional Journal Information:
Journal Volume: 143; Journal Issue: 7; Journal ID: ISSN 0021-9606
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 97 MATHEMATICS AND COMPUTING; transition state theory; surface dynamics; rotational correlation time; surface states; vacancies

Citation Formats

Huang, Chen, Perez, Danny, and Voter, Arthur F. Hyperdynamics boost factor achievable with an ideal bias potential. United States: N. p., 2015. Web. doi:10.1063/1.4928636.
Huang, Chen, Perez, Danny, & Voter, Arthur F. Hyperdynamics boost factor achievable with an ideal bias potential. United States. https://doi.org/10.1063/1.4928636
Huang, Chen, Perez, Danny, and Voter, Arthur F. 2015. "Hyperdynamics boost factor achievable with an ideal bias potential". United States. https://doi.org/10.1063/1.4928636. https://www.osti.gov/servlets/purl/1239372.
@article{osti_1239372,
title = {Hyperdynamics boost factor achievable with an ideal bias potential},
author = {Huang, Chen and Perez, Danny and Voter, Arthur F.},
abstractNote = {Hyperdynamics is a powerful method to significantly extend the time scales amenable to molecular dynamics simulation of infrequent events. One outstanding challenge, however, is the development of the so-called bias potential required by the method. In this work, we design a bias potential using information about all minimum energy pathways (MEPs) out of the current state. While this approach is not suitable for use in an actual hyperdynamics simulation, because the pathways are generally not known in advance, it allows us to show that it is possible to come very close to the theoretical boost limit of hyperdynamics while maintaining high accuracy. We demonstrate this by applying this MEP-based hyperdynamics (MEP-HD) to metallic surface diffusion systems. In most cases, MEP-HD gives boost factors that are orders of magnitude larger than the best existing bias potential, indicating that further development of hyperdynamics bias potentials could have a significant payoff. Lastly, we discuss potential practical uses of MEP-HD, including the possibility of developing MEP-HD into a true hyperdynamics.},
doi = {10.1063/1.4928636},
url = {https://www.osti.gov/biblio/1239372}, journal = {Journal of Chemical Physics},
issn = {0021-9606},
number = 7,
volume = 143,
place = {United States},
year = {2015},
month = {8}
}

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Cited by: 3 works
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