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Better Than Counting: Density Profiles from Force Sampling
- Source :
- Physical review letters. 120(21)
- Publication Year :
- 2018
-
Abstract
- Calculating one-body density profiles in equilibrium via particle-based simulation methods involves counting of events of particle occurrences at (histogram-resolved) space points. Here, we investigate an alternative method based on a histogram of the local force density. Via an exact sum rule, the density profile is obtained with a simple spatial integration. The method circumvents the inherent ideal gas fluctuations. We have tested the method in Monte Carlo, Brownian dynamics, and molecular dynamics simulations. The results carry a statistical uncertainty smaller than that of the standard counting method, reducing therefore the computation time.
- Subjects :
- Force density
Computation
General Physics and Astronomy
Sampling (statistics)
FOS: Physical sciences
02 engineering and technology
Computational Physics (physics.comp-ph)
Condensed Matter - Soft Condensed Matter
021001 nanoscience & nanotechnology
01 natural sciences
Ideal gas
Molecular dynamics
Histogram
0103 physical sciences
Brownian dynamics
Soft Condensed Matter (cond-mat.soft)
Sum rule in quantum mechanics
Statistical physics
010306 general physics
0210 nano-technology
Physics - Computational Physics
Mathematics
Subjects
Details
- ISSN :
- 10797114
- Volume :
- 120
- Issue :
- 21
- Database :
- OpenAIRE
- Journal :
- Physical review letters
- Accession number :
- edsair.doi.dedup.....d00982f6d13526e06a11164575847ff6