Numerical properties of the smooth particle mesh Ewald (SPME) sum [U. Essmann, L. Perera, M. L. Berkowitz, T. Darden, H. Lee, and L. G. Pedersen, J. Chem. Phys. 103, 8577 (1995)] have been investigated by molecular dynamics simulation of ionic solutions and dipolar fluids. Scaling dependence of execution time on the number of particles at optimal performance have been determined and compared with the corresponding data of the standard Ewald (SE) sum. For both types of systems and over the range from N = 103 to 105 particles, the SPME sum displays a sub |$\mathscr{O}$|(N ln N) complexity, whereas the SE sum possesses an |$\mathscr{O}$|(N3/2) complexity. The breakeven of the simulation times appears at |$\mathscr{O}$|(103) particles, and the SPME sum is ≈20 times faster than the SE sum at 105 particles. Furthermore, energy truncation error and the energy and force execution time of the reciprocal space evaluation as function of the number of particles and the convergence parameters of the SPME sum have been determined for both types of systems containing up to 106 particles.
Skip Nav Destination
,
Article navigation
14 November 2014
Research Article|
November 14 2014
Tuning the smooth particle mesh Ewald sum: Application on ionic solutions and dipolar fluids Available to Purchase
Björn Linse;
Björn Linse
Physical Chemistry, Department of Chemistry,
Lund University
, P.O. Box 124, S-22100 Lund, Sweden
Search for other works by this author on:
Per Linse
Per Linse
Physical Chemistry, Department of Chemistry,
Lund University
, P.O. Box 124, S-22100 Lund, Sweden
Search for other works by this author on:
Björn Linse
Per Linse
Physical Chemistry, Department of Chemistry,
Lund University
, P.O. Box 124, S-22100 Lund, Sweden
J. Chem. Phys. 141, 184114 (2014)
Article history
Received:
August 28 2014
Accepted:
October 24 2014
Citation
Björn Linse, Per Linse; Tuning the smooth particle mesh Ewald sum: Application on ionic solutions and dipolar fluids. J. Chem. Phys. 14 November 2014; 141 (18): 184114. https://doi.org/10.1063/1.4901119
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
The Amsterdam Modeling Suite
Evert Jan Baerends, Nestor F. Aguirre, et al.
DeePMD-kit v2: A software package for deep potential models
Jinzhe Zeng, Duo Zhang, et al.
CREST—A program for the exploration of low-energy molecular chemical space
Philipp Pracht, Stefan Grimme, et al.
Related Content
Optimizing working parameters of the smooth particle mesh Ewald algorithm in terms of accuracy and efficiency
J. Chem. Phys. (July 2010)
Smooth particle mesh Ewald-integrated stochastic Lanczos many-body dispersion algorithm
J. Chem. Phys. (October 2023)
Extension and evaluation of the multilevel summation method for fast long-range electrostatics calculations
J. Chem. Phys. (June 2014)
A smooth particle-mesh Ewald algorithm for Stokes suspension simulations: The sedimentation of fibers
Physics of Fluids (March 2005)