Gaussian split Ewald (GSE) is a versatile Ewald mesh method that is fast and accurate when used with both real-space and k-space Poisson solvers. While real-space methods are known to be asymptotically superior to k-space methods in terms of both computational cost and parallelization efficiency, k-space methods such as smooth particle-mesh Ewald (SPME) have thus far remained dominant because they have been more efficient than existing real-space methods for simulations of typical systems in the size range of current practical interest. Real-space GSE, however, is approximately a factor of 2 faster than previously described real-space Ewald methods for the level of force accuracy typically required in biomolecular simulations, and is competitive with leading k-space methods even for systems of moderate size. Alternatively, GSE may be combined with a k-space Poisson solver, providing a conveniently tunable k-space method that performs comparably to SPME. The GSE method follows naturally from a uniform framework that we introduce to concisely describe the differences between existing Ewald mesh methods.
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1 February 2005
Research Article|
January 13 2005
Gaussian split Ewald: A fast Ewald mesh method for molecular simulation
Yibing Shan;
Yibing Shan
D. E. Shaw Research and Development, New York, New York 10036
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John L. Klepeis;
John L. Klepeis
D. E. Shaw Research and Development, New York, New York 10036
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Michael P. Eastwood;
Michael P. Eastwood
D. E. Shaw Research and Development, New York, New York 10036
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Ron O. Dror;
Ron O. Dror
D. E. Shaw Research and Development, New York, New York 10036
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David E. Shaw
David E. Shaw
D. E. Shaw Research and Development, New York, New York 10036
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J. Chem. Phys. 122, 054101 (2005)
Article history
Received:
August 26 2004
Accepted:
November 02 2004
Citation
Yibing Shan, John L. Klepeis, Michael P. Eastwood, Ron O. Dror, David E. Shaw; Gaussian split Ewald: A fast Ewald mesh method for molecular simulation. J. Chem. Phys. 1 February 2005; 122 (5): 054101. https://doi.org/10.1063/1.1839571
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