The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Computer simulations in the Gibbs ensemble
Open accessAbstract
In this article we demonstrate that the Gibbs ensemble and the canonical ensemble are equivalent in the thermodynamic limit. Furthermore, we discuss some interesting aspects of the method when applied close to the critical point. We show that for a finite number of particles the Gibbs ensemble leads to a lower value of the critical temperature of the finite system than that obtained by standard N,V,T simulations with the same number of particles. This is due to entropic considerations. Simulations in the Gibbs ensemble, because it allows for fluctuations in the number of particles and in the volume of the sub-systems, may lead to a better estimate of the critical temperature of the infinite system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Handbook of Mathematical Functions
McQuarrie, D. A. (1966) · American Journal of Physics · doi:10.1119/1.1972842 · Cited by 40,433
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Cited by
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Chen, B., Potoff, J. J., & Siepmann, J. I. (2001) · The Journal of Physical Chemistry B · doi:10.1021/jp003882x · Cited by 835
Novel scheme to study structural and thermal properties of continuously deformable molecules
Frenkel, D., Mooij, G. C. A. M., & Smit, B. (1992) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/4/12/006 · Cited by 462
Self-citationShah, M. S., Tsapatsis, M., & Siepmann, J. I. (2015) · Langmuir · doi:10.1021/acs.langmuir.5b03015 · Cited by 46
Metadata
- Authors
- Smit, B., De Smedt, P., & Frenkel, D.
- Venue
- Molecular Physics
- Publisher
- Informa UK Limited
- Published
- 1989-11
- Volume
- 68
- Issue
- 4
- Pages
- 931-950
- ISSN
- 0026-8976 (ISSN-L)
- 1362-3028
- OpenAlex
- W2156532851
- Cited by
- 351
- References
- 2
- FWCI
- 12.08
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Computer simulations in the Gibbs ensemble. https://app.cochat.ai/papers/10.1080/00268978900102641
- The paper
- Smit, B., De Smedt, P., & Frenkel, D. (1989). Computer simulations in the Gibbs ensemble. Molecular Physics. https://doi.org/10.1080/00268978900102641
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.