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Computer "Experiments" on Classical Fluids. II. Equilibrium Correlation Functions
Abstract
Equilibrium correlation functions for a dense classical fluid are obtained by integrating the equation of motion of a system of 864 particles interacting through a Lennard-Jones potential. The behavior of the correlation function at large distance, and that of its Fourier transform at large wave number, are discussed in detail and shown to be related to the existence of a strong repulsion in the potential. A simple hard-sphere model is shown to reproduce very well the Fourier transform of those correlation functions at high density, the only parameter of the model being the diameter $a$ of the hard spheres.
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Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Role of repulsive forces in determining the equilibrium structure of simple liquids
Weeks, J. D., Chandler, D., & Andersen, H. C. (1971) · The Journal of Chemical Physics · doi:10.1063/1.1674820 · Cited by 5,207
What is "liquid"? Understanding the states of matter
Barker, J. A., & Henderson, D. (1976) · Reviews of Modern Physics · doi:10.1103/revmodphys.48.587 · Cited by 2,104
Liquid argon: Monte carlo and molecular dynamics calculations
Barker, J. A., Fisher, R. A., & Watts, R. O. (1971) · Molecular Physics · doi:10.1080/00268977100101821 · Cited by 623
Structure of water; A Monte Carlo calculation
Barker, J. A., & Watts, R. O. (1969) · Chemical Physics Letters · doi:10.1016/0009-2614(69)80119-3 · Cited by 517
Metadata
- Authors
- VERLET, L.
- Venue
- Physical Review
- Publisher
- American Physical Society (APS)
- Published
- 1968-01-05
- Volume
- 165
- Issue
- 1
- Pages
- 201-214
- ISSN
- 0031-899X (ISSN-L)
- OpenAlex
- W2140494151
- Cited by
- 1,260
- References
- 0
- FWCI
- 16.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- VERLET, L. (1968). Computer "Experiments" on Classical Fluids. II. Equilibrium Correlation Functions. Physical Review. https://doi.org/10.1103/physrev.165.201
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
