The DOI matches its Crossref record.
The electrostatic potential: an overview
Abstract
The electrostatic potential V(r) that is created by a system of nuclei and electrons is formulated directly from Coulomb's law and is a physical observable, which can be determined both experimentally and computationally. When V(r) is evaluated in the outer regions of a molecule, it shows how the latter is ‘seen’ by an approaching reactant, and thus is a useful guide to the molecule's reactive behavior, especially in noncovalent interactions. However, V(r) is a fundamental property of a system, the significance of which goes beyond its role in reactivity. For example, the energy of an atom or molecule can be expressed rigorously in terms of the electrostatic potentials at its nuclei. These and other features of V(r) are discussed in this overview. © 2011 John Wiley & Sons, Ltd. WIREs Comput Mol Sci 2011 1 153‐163 DOI: 10.1002/wcms.19 This article is categorized under: Structure and Mechanism > Molecular Structures
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
Cited by
Efficient evaluation of electrostatic potential with computerized optimized code
Zhang, J., & Lu, T. (2021) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp02805g · Cited by 2,635
Riley, K. E., Murray, J. S., Fanfrlík, J., Řezáč, J., Solá, R. J., Concha, M. C., Ramos, F. M., & Politzer, P. (2011) · Journal of Molecular Modeling · doi:10.1007/s00894-011-1015-6 · Cited by 405
Self-citationWu, Z., Li, R., Zhang, S., lv, L., Deng, T., Zhang, H., Zhang, R., Liu, J., Ding, S., Fan, L., et al. (2023) · Chem · doi:10.1016/j.chempr.2022.10.027 · Cited by 282
Wu, Y., Hu, Q., Liang, H., Wang, A., Xu, H., Wang, L., & He, X. (2023) · Advanced Energy Materials · doi:10.1002/aenm.202300259 · Cited by 270
Li, H., Tang, M., Huang, X., Wang, L., Liu, Q., & Lu, S. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.143095 · Cited by 85
Metadata
- Authors
- Murray, J. S., & Politzer, P.
- Venue
- WIREs Computational Molecular Science
- Publisher
- Wiley
- Published
- 2011-02-18
- Volume
- 1
- Issue
- 2
- Pages
- 153-163
- ISSN
- 1759-0876 (ISSN-L)
- 1759-0884
- OpenAlex
- W1990437495
- Cited by
- 1,823
- References
- 0
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.