The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Empirical potential derivation for ionic materials
Abstract
A program has been developed for the derivation of empirical interatomic potentials, with particular regard to ionic materials and the use of shell models, incorporating two new methods of fitting. Concurrent fitting of multiple structures is found to enhance greatly the reliability of the derived potentials and can lead to a physically sensible O-O potential without the use of constraints. Inclusion of gas-phase cluster information appears to be beneficial even within an ionic model. By combining free-energy minimization with empirical fitting based on displacements, rather than gradients, it is now possible to determine interatomic potentials with correct treatment of thermal effects and the zero-point energy.
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
Special points for Brillouin-zone integrations
Monkhorst, H. J., & Pack, J. D. (1976) · Physical Review B · doi:10.1103/physrevb.13.5188 · Cited by 71,721
Conformational analysis. 130. MM2. A hydrocarbon force field utilizing V1 and V2 torsional terms
Allinger, N. L. (1977) · Journal of the American Chemical Society · doi:10.1021/ja00467a001 · Cited by 3,556
Theory of the Dielectric Constants of Alkali Halide Crystals
Dick, B. G., & Overhauser, A. W. (1958) · Physical Review · doi:10.1103/physrev.112.90 · Cited by 2,385
Force fields for silicas and aluminophosphates based on ab initio calculations
van Beest, B. W. H., Kramer, G. J., & van Santen, R. A. (1990) · Physical Review Letters · doi:10.1103/physrevlett.64.1955 · Cited by 1,524
Potential models for ionic oxides
Lewis, G. V., & Catlow, C. R. A. (1985) · Journal of Physics C: Solid State Physics · doi:10.1088/0022-3719/18/6/010 · Cited by 1,187
Oxygen Ion Migration in Perovskite-Type Oxides
Cherry, M., Islam, M. S., & Catlow, C. R. A. (1995) · Journal of Solid State Chemistry · doi:10.1006/jssc.1995.1320 · Cited by 453
Point defect and electronic properties of uranium dioxide
Catlow, C. R. A. (1977) · Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences · doi:10.1098/rspa.1977.0049 · Cited by 323
Lattice energy of ionic crystals
Kapustinskii, A. F. (1956) · Quarterly Reviews, Chemical Society · doi:10.1039/qr9561000283 · Cited by 318
Computer Simulation Studies of Zeolite Structure
Jackson, R. A., & Catlow, C. R. A. (1988) · Molecular Simulation · doi:10.1080/08927028808080944 · Cited by 317
Frequency Spectrum of Crystalline Solids
Montroll, E. W. (1942) · The Journal of Chemical Physics · doi:10.1063/1.1723710 · Cited by 152
Cited by
Cygan, R. T., Liang, J.-J., & Kalinichev, A. G. (2004) · The Journal of Physical Chemistry B · doi:10.1021/jp0363287 · Cited by 3,191
The General Utility Lattice Program ( GULP )
Gale, J. D., & Rohl, A. L. (2003) · Molecular Simulation · doi:10.1080/0892702031000104887 · Cited by 2,265
Self-citationCombining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems
Keith, J. A., Vassilev-Galindo, V., Cheng, B., Chmiela, S., Gastegger, M., Müller, K.-R., & Tkatchenko, A. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00107 · Cited by 849
Water Is the Key to Nonclassical Nucleation of Amorphous Calcium Carbonate
Raiteri, P., & Gale, J. D. (2010) · Journal of the American Chemical Society · doi:10.1021/ja108508k · Cited by 420
Self-citationChicot, 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
Metadata
- Authors
- Gale, J. D.
- Venue
- Philosophical Magazine B
- Publisher
- Informa UK Limited
- Published
- 1996-01
- Volume
- 73
- Issue
- 1
- Pages
- 3-19
- ISSN
- 0141-8637 (ISSN-L)
- 1364-2812
- 1463-6417
- OpenAlex
- W2018877217
- Cited by
- 347
- References
- 14
- FWCI
- 9.12
- 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: Empirical potential derivation for ionic materials. https://app.cochat.ai/papers/10.1080/13642819608239107
- The paper
- Gale, J. D. (1996). Empirical potential derivation for ionic materials. Philosophical Magazine B. https://doi.org/10.1080/13642819608239107
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.