期刊
JOURNAL OF CHEMICAL PHYSICS
卷 132, 期 19, 页码 -出版社
AIP Publishing
DOI: 10.1063/1.3409606
关键词
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资金
- United States Department of Energy, Office of Basic Energy Sciences and Division of Materials Sciences and Engineering
- Los Alamos National Laboratory (LANL)
- U.S. Department of Energy [DE-AC52-O6NA25396]
We present a novel computational algorithm called the accelerated superbasin kinetic Monte Carlo (AS-KMC) method that enables a more efficient study of rare-event dynamics than the standard KMC method while maintaining control over the error. In AS-KMC, the rate constants for processes that are observed many times are lowered during the course of a simulation. As a result, rare processes are observed more frequently than in KMC and the time progresses faster. We first derive error estimates for AS-KMC when the rate constants are modified. These error estimates are next employed to develop a procedure for lowering process rates with control over the maximum error. Finally, numerical calculations are performed to demonstrate that the AS-KMC method captures the correct dynamics, while providing significant CPU savings over KMC in most cases. We show that the AS-KMC method can be employed with any KMC model, even when no time scale separation is present (although in such cases no computational speed-up is observed), without requiring the knowledge of various time scales present in the system. (C) 2010 American Institute of Physics. [doi: 10.1063/1.3409606]
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