The DOI matches its Crossref record.
Potential models for ionic oxides
Abstract
The authors present a systematic approach to the derivation of empirical potential parameters for binary oxides; they also consider their modification for use in mixed oxide systems. Shell-model potentials are used but, unlike the case of the alkali halides within which polarisability and short-range interaction parameters can be transferred, modifications must be introduced when transferring potential parameters between different oxides. The anion polarisability varies with structure and with the nature of the host cation, and changes in cation coordination are reflected in the short-range repulsive cation-anion interaction. Parameters are derived for a range of oxides, and trends in these parameters are discussed. They discuss successful applications of the potentials to the calculation of perfect lattice properties. Equal success is enjoyed when defect and surface properties are considered; in particular the models correctly predict the activation energies for dopant diffusion in NiO, and to a large extent model the surface rumpling of MgO.
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
Atomsk: A tool for manipulating and converting atomic data files
Hirel, P. (2015) · Computer Physics Communications · doi:10.1016/j.cpc.2015.07.012 · Cited by 2,336
Crystal structure prediction from first principles
Woodley, S. M., & Catlow, R. (2008) · Nature Materials · doi:10.1038/nmat2321 · Cited by 733
Chicot, D., Mendoza, J., Zaoui, A., Louis, G., Lepingle, V., Roudet, F., & Lesage, J. (2011) · Materials Chemistry and Physics · doi:10.1016/j.matchemphys.2011.05.056 · Cited by 238
Modelling the effect of water on cation exchange in zeolite A
(2002) · Journal of Materials Chemistry · doi:10.1039/b104069n · Cited by 95
Effect of Hydrophilicity and Interfacial Water Structure on Particle Attachment
Kerisit, S. N., & De Yoreo, J. J. (2020) · The Journal of Physical Chemistry C · doi:10.1021/acs.jpcc.9b12053 · Cited by 28
Metadata
- Authors
- Lewis, G. V., & Catlow, C. R. A.
- Venue
- Journal of Physics C: Solid State Physics
- Publisher
- IOP Publishing
- Published
- 1985-02-28
- Volume
- 18
- Issue
- 6
- Pages
- 1149-1161
- ISSN
- 0022-3719 (ISSN-L)
- OpenAlex
- W2059924763
- Cited by
- 1,187
- References
- 0
- FWCI
- 4.53
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Potential models for ionic oxides. https://app.cochat.ai/papers/10.1088/0022-3719/18/6/010
- The paper
- Lewis, G. V., & Catlow, C. R. A. (1985). Potential models for ionic oxides. Journal of Physics C: Solid State Physics. https://doi.org/10.1088/0022-3719/18/6/010
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.