A neuro-evolution machine learning potential for accurately describing defect-dependent mechanical behaviors in Mo–Nb alloys
- DOI
- 10.1063/5.0346041
- Published
- 2026-09-22
- Container
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1063/5.0346041,
title = {A neuro-evolution machine learning potential for accurately describing defect-dependent mechanical behaviors in Mo–Nb alloys},
author = {Yexin Yang and Lu Sun and Aoxiang Gong and Yimin Rao and Yan Ma and Zhenfeng Tong},
year = {2026},
journal = {The Journal of Chemical Physics},
doi = {10.1063/5.0346041},
url = {https://doi.org/10.1063/5.0346041}
}RIS
TY - JOUR TI - A neuro-evolution machine learning potential for accurately describing defect-dependent mechanical behaviors in Mo–Nb alloys AU - Yexin Yang AU - Lu Sun AU - Aoxiang Gong AU - Yimin Rao AU - Yan Ma AU - Zhenfeng Tong PY - 2026 JO - The Journal of Chemical Physics DO - 10.1063/5.0346041 UR - https://doi.org/10.1063/5.0346041 ER -
APA
Yang, Y., Sun, L., Gong, A., Rao, Y., Ma, Y., & Tong, Z. (2026). A neuro-evolution machine learning potential for accurately describing defect-dependent mechanical behaviors in Mo–Nb alloys. The Journal of Chemical Physics. https://doi.org/10.1063/5.0346041
Source records
- crossref · retrieved 2026-09-25T07:56:22.496Z