Neuroevolution machine learning potential to study high temperature deformation of entropy-stabilized oxide MgNiCoCuZnO5
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The dataset consists of the findings for neuroevolution machine learning interatomic potential for entropy-stabilized oxide MgCoNiCuZnO5. Publication: Bikash Timalsina, Huy Gia Nguyen, Keivan Esfarjani. Neuroevolution machine learning potential to study high-temperature deformation of entropy-stabilized oxide MgNiCoCuZnO5. Journal of Applied Physics. Volume 136, 16, 2024-10-28 https://doi.org/10.1063/5.0224282. The authors acknowledge support from the National Science Foundation, Office of Cyberinfrastructure for Sustained Scientific Innovation award number 2103989.
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University of Virginia Dataverse
创建时间:
2024-10-11



