Efficient machine learning of solute segregation energy based on physics-informed features

Machine learning models solute segregation energy based on appropriate features of segregation sites. Lumping many features together can give a decent accuracy but may suffer the curse of dimensionality. Here, we modeled the segregation energy with efficient machine learning using physics-informed f...

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Detalles Bibliográficos
Autores principales: Ma, Zongyi, Pan, Zhiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349884/
https://www.ncbi.nlm.nih.gov/pubmed/37454224
http://dx.doi.org/10.1038/s41598-023-38533-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349884/
https://www.ncbi.nlm.nih.gov/pubmed/37454224
http://dx.doi.org/10.1038/s41598-023-38533-8

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