Machine learning interatomic potential for the structural properties of iron oxides
- DOI
- 10.1038/s41598-026-38096-4
- Published
- 2026-02-12
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-38096-4,
title = {Machine learning interatomic potential for the structural properties of iron oxides},
author = {Alberto Torres and Alan B. de Oliveira and Matheus dos S. Barbosa and Leonardo V. Lelovsky and Valdirene Gonzaga de Resende and Flavio de Castro Dutra and Felipe Viana Pimenta and Fabrício Vilela Parreira and Amaury de Melo Souza and Matheus J. S. Matos and Alexandre Reily Rocha},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-38096-4},
url = {https://doi.org/10.1038/s41598-026-38096-4}
}RIS
TY - JOUR TI - Machine learning interatomic potential for the structural properties of iron oxides AU - Alberto Torres AU - Alan B. de Oliveira AU - Matheus dos S. Barbosa AU - Leonardo V. Lelovsky AU - Valdirene Gonzaga de Resende AU - Flavio de Castro Dutra AU - Felipe Viana Pimenta AU - Fabrício Vilela Parreira AU - Amaury de Melo Souza AU - Matheus J. S. Matos AU - Alexandre Reily Rocha PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-38096-4 UR - https://doi.org/10.1038/s41598-026-38096-4 ER -
APA
Torres, A., Oliveira, A. B. D., Barbosa, M. D. S., Lelovsky, L. V., Resende, V. G. D., Dutra, F. D. C., Pimenta, F. V., Parreira, F. V., Souza, A. D. M., Matos, M. J. S., & Rocha, A. R. (2026). Machine learning interatomic potential for the structural properties of iron oxides. Scientific Reports. https://doi.org/10.1038/s41598-026-38096-4
Source records
- crossref · retrieved 2026-09-25T23:08:28.878Z