A RANDOM BATCH EWALD METHOD FOR PARTICLE SYSTEMS WITH COULOMB INTERACTIONS

被引:30
|
作者
Jin, Shi [1 ,2 ]
Li, Lei [1 ,2 ]
Xu, Zhenli [1 ,2 ]
Zhao, Yue [3 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Math Sci, Inst Nat Sci, Shanghai 200240, Peoples R China
[2] Shanghai Jiao Tong Univ, MOE LSC, Shanghai 200240, Peoples R China
[3] Shanghai Jiao Tong Univ, Sch Math Sci, Shanghai 200240, Peoples R China
来源
SIAM JOURNAL ON SCIENTIFIC COMPUTING | 2021年 / 43卷 / 04期
关键词
Ewald summation; Langevin dynamics; random batch method; stochastic differential equations; MOLECULAR-DYNAMICS; CHARGE INVERSION; MESH EWALD; SUMS; SIMULATIONS; ALGORITHM; EFFICIENT;
D O I
10.1137/20M1371385
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We develop a random batch Ewald (RBE) method for molecular dynamics simulations of particle systems with long-range Coulomb interactions, which achieves an O(N) complexity in each step of simulating N-body systems. The RBE method is based on the Ewald splitting for the Coulomb kernel with a random "minibatch" type technique introduced to speed up the summation of the Fourier series for the long-range part of the splitting. Importance sampling is employed to reduce the induced force variance by taking advantage of the fast decay property of the Fourier coefficients. The stochastic approximation is unbiased with controlled variance. Analysis for bounded force fields gives some theoretic support of the method. Simulations of two typical problems of charged systems are presented to illustrate the accuracy and efficiency of the RBE method in comparison to the results from the Debye-Huckel theory, the classical Ewald summation, and the particle-particle particle-mesh method, demonstrating that the proposed method has the attractiveness of being easy to implement with the linear scaling and is promising for many practical applications.
引用
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页码:B937 / B960
页数:24
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