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.
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Purdue Univ, Dept Math, 150 North Univ St, W Lafayette, IN 47907 USAPurdue Univ, Dept Math, 150 North Univ St, W Lafayette, IN 47907 USA
Qi, Di
Liu, Jian-Guo
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Duke Univ, Dept Math, Durham, NC 27708 USA
Duke Univ, Dept Phys, Durham, NC 27708 USAPurdue Univ, Dept Math, 150 North Univ St, W Lafayette, IN 47907 USA
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Univ London Imperial Coll Sci Technol & Med, High Performance Comp Serv, London SW7 2AZ, EnglandUniv London Imperial Coll Sci Technol & Med, High Performance Comp Serv, London SW7 2AZ, England
Harvey, M. J.
De Fabritiis, G.
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Univ Pompeu Fabra, Computat Biochem & Biophys Lab, GRIB IMIM, Barcelona 08003, SpainUniv London Imperial Coll Sci Technol & Med, High Performance Comp Serv, London SW7 2AZ, England