Unconditionally stable monte carlo simulation for solving the multi-dimensional Allen-Cahn equation

  • Hwang, Youngjin; 
  • Kim, Ildoo; 
  • Kwak, Soobin; 
  • Ham, Seokjun; 
  • Kim, Sangkwon; 
  • 외 1명
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초록

In this study, we present an efficient and novel unconditionally stable Monte Carlo simulation (MCS) for solving the multi-dimensional Allen-Cahn (AC) equation, which can model the motion by mean curvature flow of a hypersurface. We use an operator splitting method, where the diffusion and nonlinear terms are solved separately. The diffusion term is calculated using MCS for the stochastic differential equation, while the nonlinear term is locally computed for each particle in a virtual grid. Several numerical experiments are presented to demonstrate the performance of the proposed algorithm. The computational results confirm that the proposed algorithm can solve the AC equation more efficiently as the dimension of space increases.

키워드

Monte Carlo simulation; operator splitting method; unconditionally stable scheme; multi-dimensional Allen-Cahn equation; DIFFUSION; SCHEME; CURSE
제목
Unconditionally stable monte carlo simulation for solving the multi-dimensional Allen-Cahn equation
저자
Hwang, Youngjin; Kim, Ildoo; Kwak, Soobin; Ham, Seokjun; Kim, Sangkwon; Kim, Junseok
DOI
10.3934/era.2023261
발행일
2023
유형
Article
저널명
Electronic Research Archive
권
31
호
8
페이지
5104 ~ 5123