The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Simulated surface tensions of common water models
Open accessAbstract
Initial simulated values of the surface tension for the SPC/E water model have indicated excellent agreement with experiment. More recently, differing values have been obtained which are significantly lower than previous estimates. Here, we attempt to explain the differences between the previous studies and show that a variety of simulation conditions can affect the final surface tension values. Consistent values for the surface tensions of six common fixed charge water models (TIP3P, SPC, SPC/E, TIP4P, TIP5P, and TIP6P) are then determined for four temperatures between 275 and 350K. The SPC/E and TIP6P models provide the best agreement with experiment.
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
Computer Simulation of Liquids
Allen, M. P., & Tildesley, D. J. (2017) · doi:10.1093/oso/9780198803195.001.0001 · Cited by 20,945
Cited by
Simulating water with rigid non-polarizable models: a general perspective
Vega, C., & Abascal, J. L. F. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c1cp22168j · Cited by 991
Shinoda, W., DeVane, R., & Klein, M. L. (2010) · The Journal of Physical Chemistry B · doi:10.1021/jp9107206 · Cited by 276
Molecular mechanism of cyclodextrin mediated cholesterol extraction
López, C. A., de Vries, A. H., & Marrink, S. J. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002020 · Cited by 198
Sookhak Lari, K., Reinhardt, A., Warden, A. C., Rayner, J. L., & Davis, G. B. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c01748 · Cited by 11
Metadata
- Authors
- Chen, F., & Smith, P. E.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2007-06-12
- Volume
- 126
- Issue
- 22
- Pages
- 221101-221101
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2058125550
- Cited by
- 232
- References
- 1
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Simulated surface tensions of common water models. https://app.cochat.ai/papers/10.1063/1.2745718
- The paper
- Chen, F., & Smith, P. E. (2007). Simulated surface tensions of common water models. The Journal of Chemical Physics. https://doi.org/10.1063/1.2745718
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.
