Exploration of Solid Solutions and the Strengthening of Aluminum Substrates by Alloying Atoms: Machine Learning Accelerated Density Functional Theory Calculations

In this paper, we studied the effects of a series of alloying atoms on the stability and micromechanical properties of aluminum alloy using a machine learning accelerated first-principles approach. In our preliminary work, high-throughput first-principles calculations were explored and the solution...

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Detalles Bibliográficos
Autores principales: Huang, Jingtao, Xue, Jingteng, Li, Mingwei, Cheng, Yuan, Lai, Zhonghong, Hu, Jin, Zhou, Fei, Qu, Nan, Liu, Yong, Zhu, Jingchuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608410/
https://www.ncbi.nlm.nih.gov/pubmed/37895739
http://dx.doi.org/10.3390/ma16206757

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10608410/
https://www.ncbi.nlm.nih.gov/pubmed/37895739
http://dx.doi.org/10.3390/ma16206757

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