A multipole-based algorithm for efficient calculation of forces and potentials in macroscopic periodic assemblies of particles
A new and efficient algorithm based on multipole techniques is presented which calculates the electrostatic forces and potentials in macroscopic periodic assemblies of particles. The fast multipole algorithm (FMA) can be used to compute forces with in the n-particle unit cell in O(n) time. For the cubic lattice, forces due to a 3k X 3k X 3k lattice of images of the unit cell, containing 33k n particles, can be computed in O(nk2 + k3 log k) time to arbitrary precision. The algorithm was readily added onto an existing FMA implementation, and computational results are presented. Accurate electrostatic computations were done on a 38 X 38 X 38 region of 100000-particle unit cells, giving a volume of 28 quadrillion particles at less than a twofold cost over computing the forces and potentials in the unit cell alone. In practice, a k = 4 ⋯ 6 simulation approximates the true infinite lattice Ewald sum forces (including the shape-dependent dipole correction) to high accuracy, taking 25-30 % more time to compute than only the unit cell. The method extends to noncubic unit cell shapes, and noncubic macroscopic shapes. Simple code modifications allowed computation of forces within macroscopic spheres and ellipsoids, and within near-infinite square, circular, and elliptical surfaces formed of unit cubes replicated along two of the three axes. In addition to efficient periodic simulations, the method provides a powerful tool to study limiting behavior of various finite crystal shapes, as well as surface phenomena in molecular dynamics simulations. © 1996 Academic Press, Inc.
Duke Scholars
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Applied Mathematics
- 51 Physical sciences
- 49 Mathematical sciences
- 40 Engineering
- 09 Engineering
- 02 Physical Sciences
- 01 Mathematical Sciences
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Applied Mathematics
- 51 Physical sciences
- 49 Mathematical sciences
- 40 Engineering
- 09 Engineering
- 02 Physical Sciences
- 01 Mathematical Sciences