Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing

被引：23

作者：

Mitchell, John A. ^{[1
]}

Abdeljawad, Fadi ^{[2
]}

Battaile, Corbett ^{[1
]}

Garcia-Cardona, Cristina ^{[3
]}

Holm, Elizabeth A. ^{[4
]}

Homer, Eric R. ^{[5
]}

Madison, Jon ^{[1
]}

Rodgers, Theron M. ^{[1
]}

Thompson, Aidan P. ^{[1
]}

Tikare, Veena ^{[6
]}

Webb, Ed ^{[7
]}

Plimpton, Steven J. ^{[1
]}

机构：

[1] Sandia Natl Labs, Albuquerque, NM 87123 USA

[2] Clemson Univ, Dept Mech Engn, Dept Mat Sci & Engn, Clemson, SC USA

[3] Los Alamos Natl Lab, Los Alamos, NM USA

[4] Univ Michigan, Ann Arbor, MI USA

[5] Brigham Young Univ, Provo, UT USA

[6] IAEA, Vienna, Austria

[7] Lehigh Univ, Bethlehem, PA USA

来源：

MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING | 2023年 / 31卷 / 05期

基金：

美国国家科学基金会;

关键词：

SPPARKS; materials processing; kinetic Monte Carlo; Metropolis Monte Carlo; on-lattice Monte Carlo; parallel algorithms; PHASE-FIELD SIMULATION; GRAIN-GROWTH; COMPUTER-SIMULATION; EVOLUTION; DIFFUSION; ENERGY; MOTION;

D O I：

10.1088/1361-651X/accc4b

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

SPPARKS is an open-source parallel simulation code for developing and running various kinds of on-lattice Monte Carlo models at the atomic or meso scales. It can be used to study the properties of solid-state materials as well as model their dynamic evolution during processing. The modular nature of the code allows new models and diagnostic computations to be added without modification to its core functionality, including its parallel algorithms. A variety of models for microstructural evolution (grain growth), solid-state diffusion, thin film deposition, and additive manufacturing (AM) processes are included in the code. SPPARKS can also be used to implement grid-based algorithms such as phase field or cellular automata models, to run either in tandem with a Monte Carlo method or independently. For very large systems such as AM applications, the Stitch I/O library is included, which enables only a small portion of a huge system to be resident in memory. In this paper we describe SPPARKS and its parallel algorithms and performance, explain how new Monte Carlo models can be added, and highlight a variety of applications which have been developed within the code.

引用

页数：47

共 91 条

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