The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Reverse Monte Carlo modelling
Open accessAbstract
Reverse Monte Carlo (RMC) modelling is a general method of structural modelling based on experimental data. RMC modelling can be applied to many different sorts of data, simultaneously if wished. Powder and single-crystal neutron diffraction (including isotopic substitution), x-ray diffraction (including anomalous scattering) and electron diffraction, extended x-ray absorption fine structure and nuclear magnetic resonance (magic angle spinning and second moment) have already been used to provide data. RMC modelling can also be applied to many different types of system - liquids, glasses, polymers, crystals and magnetic materials. This article outlines the RMC method and discusses some of the common misconceptions about it. It is stressed that RMC models are neither unique nor `correct'. However, they are often useful for aiding our understanding either of the structure itself, or of the relationships between local structure and other physical properties. Examples are given and the possibilities for further development of the RMC method are discussed.
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Cites
Equation of State Calculations by Fast Computing Machines
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Cited by
Atomic packing and short-to-medium-range order in metallic glasses
Sheng, H. W., Luo, W. K., Alamgir, F. M., Bai, J. M., & Ma, E. (2006) · Nature · doi:10.1038/nature04421 · Cited by 2,099
Atomic-level structure and structure–property relationship in metallic glasses
Cheng, Y. Q., & Ma, E. (2011) · Progress in Materials Science · doi:10.1016/j.pmatsci.2010.12.002 · Cited by 1,771
Spectrin-Level Modeling of the Cytoskeleton and Optical Tweezers Stretching of the Erythrocyte
Li, J., Dao, M., Lim, C. T., & Suresh, S. (2005) · Biophysical Journal · doi:10.1529/biophysj.104.047332 · Cited by 426
Structural Analysis of Molecular Materials Using the Pair Distribution Function
Terban, M. W., & Billinge, S. J. L. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00237 · Cited by 426
The crystallography of correlated disorder
Keen, D. A., & Goodwin, A. L. (2015) · Nature · doi:10.1038/nature14453 · Cited by 381
Metadata
- Authors
- McGreevy, R. L.
- Venue
- Journal of Physics: Condensed Matter
- Publisher
- IOP Publishing
- Published
- 2001-11-05
- Volume
- 13
- Issue
- 46
- Pages
- R877-R913
- ISSN
- 0953-8984 (ISSN-L)
- 1361-648X
- OpenAlex
- W2131179479
- Cited by
- 829
- References
- 2
- FWCI
- 9.43
- Type
- journal article
- Language
- en
- Open access
- bronze
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- McGreevy, R. L. (2001). Reverse Monte Carlo modelling. Journal of Physics: Condensed Matter. https://doi.org/10.1088/0953-8984/13/46/201
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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.
