Standard Ewald sums, which calculate, e.g., the electrostatic energy or the force in periodically closed systems of charged particles, can be efficiently speeded up by the use of the fast Fourier transformation (FFT). In this article we investigate three algorithms for the FFT-accelerated Ewald sum, which have attracted widespread attention, namely, the so-called particle–particle–particle mesh particle mesh Ewald (PME), and smooth PME method. We present a unified view of the underlying techniques and the various ingredients which comprise those routines. Additionally, we offer detailed accuracy measurements, which shed some light on the influence of several tuning parameters and also show that the existing methods — although similar in spirit — exhibit remarkable differences in accuracy. We propose a set of combinations of the individual components, mostly relying on the approach, that we regard to be the most flexible. The issue of estimating the errors connected with particle mesh routines is reserved to paper II.
Skip Nav Destination
Article navigation
8 November 1998
Research Article|
November 08 1998
How to mesh up Ewald sums. I. A theoretical and numerical comparison of various particle mesh routines
Markus Deserno;
Markus Deserno
Max-Planck-Institut für Polymerforschung, Ackermannweg 10, 55128 Mainz, Germany
Search for other works by this author on:
Christian Holm
Christian Holm
Max-Planck-Institut für Polymerforschung, Ackermannweg 10, 55128 Mainz, Germany
Search for other works by this author on:
J. Chem. Phys. 109, 7678–7693 (1998)
Article history
Received:
May 01 1998
Accepted:
August 06 1998
Connected Content
A companion article has been published:
How to mesh up Ewald sums. II. An accurate error estimate for the particle–particle–particle-mesh algorithm
Citation
Markus Deserno, Christian Holm; How to mesh up Ewald sums. I. A theoretical and numerical comparison of various particle mesh routines. J. Chem. Phys. 8 November 1998; 109 (18): 7678–7693. https://doi.org/10.1063/1.477414
Download citation file:
Sign in
Don't already have an account? Register
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Pay-Per-View Access
$40.00
Citing articles via
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.