Determining Multi‐Component Phase Diagrams with Desired Characteristics Using Active Learning

Herein, we demonstrate how to predict and experimentally validate phase diagrams for multi‐component systems from a high‐dimensional virtual space of all possible phase diagrams involving several elements based on small existing experimental data. The experimental data for bulk phases for known syst...

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Detalles Bibliográficos
Autores principales: Tian, Yuan, Yuan, Ruihao, Xue, Dezhen, Zhou, Yumei, Wang, Yunfan, Ding, Xiangdong, Sun, Jun, Lookman, Turab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Full Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788591/
https://www.ncbi.nlm.nih.gov/pubmed/33437586
http://dx.doi.org/10.1002/advs.202003165

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7788591/
https://www.ncbi.nlm.nih.gov/pubmed/33437586
http://dx.doi.org/10.1002/advs.202003165

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