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Coherent-Potential Approximation for a Nonoverlapping-Muffin-Tin-Potential Model of Random Substitutional Alloys
Abstract
Soven's method of doing the coherent-potential approximation for a nonoverlapping-muffin-tin-potential model of random substitutional alloys has been rederived without the use of an energy-dependent model potential. As a consequence of the present approach, a much simplified expression for the density of states is obtained.
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Cited by
Time-Reversal-Breaking Weyl Fermions in Magnetic Heusler Alloys
Wang, Z., Vergniory, M. G., Kushwaha, S., Hirschberger, M., Chulkov, E. V., Ernst, A., Ong, N. P., Cava, R. J., & Bernevig, B. A. (2016) · Physical Review Letters · doi:10.1103/physrevlett.117.236401 · Cited by 374
Ab initio formation energies of Fe–Cr alloys
Olsson, P., Abrikosov, I. A., Vitos, L., & Wallenius, J. (2003) · Journal of Nuclear Materials · doi:10.1016/s0022-3115(03)00207-1 · Cited by 272
Electronic origin of the anomalous stability of Fe-rich bcc Fe-Cr alloys
Olsson, P., Abrikosov, I. A., & Wallenius, J. (2006) · Physical Review B · doi:10.1103/physrevb.73.104416 · Cited by 203
Metadata
- Authors
- Gyorffy, B. L.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 1972-03-15
- Volume
- 5
- Issue
- 6
- Pages
- 2382-2384
- ISSN
- 0556-2805 (ISSN-L)
- OpenAlex
- W2034433702
- Cited by
- 757
- References
- 0
- FWCI
- 14.75
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Coherent-Potential Approximation for a Nonoverlapping-Muffin-Tin-Potential Model of Random Substitutional Alloys. https://app.cochat.ai/papers/10.1103/physrevb.5.2382
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- Gyorffy, B. L. (1972). Coherent-Potential Approximation for a Nonoverlapping-Muffin-Tin-Potential Model of Random Substitutional Alloys. Physical Review B. https://doi.org/10.1103/physrevb.5.2382
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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.