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Adaptive tau-leaping methods for microscopic-lattice kinetic Monte Carlo simulations.
Che, Tianshi; Zhou, Yang; Han, Xiaoying; Najm, Habib N.
Afiliação
  • Che T; Department of Computer Science and Software Engineering, Auburn University, 3112 Shelby Center, Auburn, Alabama 36849, USA.
  • Zhou Y; Department of Computer Science and Software Engineering, Auburn University, 3112 Shelby Center, Auburn, Alabama 36849, USA.
  • Han X; Department of Mathematics and Statistics, Auburn University, 221 Parker Hall, Auburn, Alabama 36849, USA.
  • Najm HN; Sandia National Laboratories, P.O. Box 969, MS 9051, Livermore, California 94551, USA.
J Chem Phys ; 161(8)2024 Aug 28.
Article em En | MEDLINE | ID: mdl-39177088
ABSTRACT
Traditional Kinetic Monte Carlo (KMC) approaches, rooted in Gillespie's stochastic simulation algorithm, become computationally demanding in systems with a large range of timescales. The goal of this work is to propose and study new adaptive lattice-KMC time integration strategies for spatially non-uniform systems. To that end, two novel adaptive tau-leaping methods and their corresponding time integration strategies are developed based on the idea of the "n-fold" direct KMC method. These strategies allow for the simultaneous execution of multiple reactions, advancing time by adaptively selected coarse increments. We present numerical experiments comparing the proposed methods with existing approaches in a catalytic surface kinetics application involving ammonia decomposition.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article