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Open Access

Crystal-KMC: Parallel Software for Lattice Dynamics Monte Carlo Simulation of Metal Materials

Department of Computer Science and Technology, University of Science and Technology Beijing 100083, China.
Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA.
School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China.
China Institute of Atomic Energy, Beijing 102413, China.
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Abstract

Kinetic Monte Carlo (KMC) is a widely used method for studying the evolution of materials at themicrocosmic level. At present, while there are many simulation software programs based on this algorithm, most focus on the verification of a certain phenomenon and have no analog-scale requirement, so many are serial in nature. The dynamic Monte Carlo algorithm is implemented using a parallel framework called SPPARKS, but it does not support the Embedded Atom Method (EAM) potential, which is commonly used in the dynamic simulation of metal materials. Metal material — the preferred material for most containers and components — plays an important role in many fields, including construction engineering and transportation. In this paper, we propose and describe the development of a parallel software program called Crystal-KMC, which is specifically used to simulate the lattice dynamics of metallic materials. This software uses MPI to achieve a parallel multiprocessing mode, which avoid the limitations of serial software in the analog scale. Finally, we describe the use of the parallel-KMC simulation software Crystal-KMC in simulating the diffusion of vacancies in iron, and analyze the experimental results. In addition, we tested the performance of Crystal-KMC in “meta -Era” supercomputing clusters, and the results show the Crystal-KMC parallel software to have good parallel speedup and scalability.

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Tsinghua Science and Technology
Pages 501-510

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Cite this article:
Li J, Wei P, Yang S, et al. Crystal-KMC: Parallel Software for Lattice Dynamics Monte Carlo Simulation of Metal Materials. Tsinghua Science and Technology, 2018, 23(4): 501-510. https://doi.org/10.26599/TST.2018.9010107

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Received: 11 June 2018
Revised: 13 June 2018
Accepted: 26 June 2018
Published: 16 August 2018
© The authors 2018