A Machine Learning Method for Predicting Corrosion Weight Gain of Uranium and Uranium Alloys

As an irreplaceable structural and functional material in strategic equipment, uranium and uranium alloys are generally susceptible to corrosion reactions during service, and predicting corrosion behavior has important research significance. There have been substantial studies conducted on metal cor...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoyuan, Zhang, Wanying, Zhang, Weidong, Ai, Yibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867464/
https://www.ncbi.nlm.nih.gov/pubmed/36676368
http://dx.doi.org/10.3390/ma16020631

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867464/
https://www.ncbi.nlm.nih.gov/pubmed/36676368
http://dx.doi.org/10.3390/ma16020631

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