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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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| Publicado no: | Adv Sci (Weinh) |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
John Wiley and Sons Inc.
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7788591/ https://ncbi.nlm.nih.gov/pubmed/33437586 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/advs.202003165 |
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