The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A method for the direct calculation of chemical potentials for dense chain systems
Abstract
The aim of this paper is to propose a new way to calculate the chemical potential for dense systems containing flexible chain molecules by a Widomtype insertion technique. The method makes use of the self-avoiding randomwalk algorithm of Rosenbluth and Rosenbluth. We report some results for the calculation of the chemical potential for a simple monolayer system, originally simulated by Whittington and Chapman. To our knowledge, the chemical potential of a chain system has never been calculated before using a direct approach.
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Citations
Cites
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Cited by
Chen, B., Potoff, J. J., & Siepmann, J. I. (2001) · The Journal of Physical Chemistry B · doi:10.1021/jp003882x · Cited by 835
Self-citationBiological and synthetic membranes: What can be learned from a coarse-grained description?
MULLER, M., KATSOV, K., & SCHICK, M. (2006) · Physics Reports · doi:10.1016/j.physrep.2006.08.003 · Cited by 320
Metadata
- Authors
- Siepmann, J. I.
- Venue
- Molecular Physics
- Publisher
- Informa UK Limited
- Published
- 1990-08-20
- Volume
- 70
- Issue
- 6
- Pages
- 1145-1158
- ISSN
- 0026-8976 (ISSN-L)
- 1362-3028
- OpenAlex
- W2118717214
- Cited by
- 261
- References
- 1
- FWCI
- 7.60
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A method for the direct calculation of chemical potentials for dense chain systems. https://app.cochat.ai/papers/10.1080/00268979000101591
- The paper
- Siepmann, J. I. (1990). A method for the direct calculation of chemical potentials for dense chain systems. Molecular Physics. https://doi.org/10.1080/00268979000101591
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
