Adaptive tau-leaping methods for microscopic-lattice kinetic Monte Carlo simulations

Author:

Che Tianshi1ORCID,Zhou Yang1ORCID,Han Xiaoying2ORCID,Najm Habib N.3ORCID

Affiliation:

1. Department of Computer Science and Software Engineering, Auburn University 1 , 3112 Shelby Center, Auburn, Alabama 36849, USA

2. Department of Mathematics and Statistics, Auburn University 2 , 221 Parker Hall, Auburn, Alabama 36849, USA

3. Sandia National Laboratories 3 , P.O. Box 969, MS 9051, Livermore, California 94551, USA

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.

Funder

U.S. Department of Energy

Publisher

AIP Publishing

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