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Precursor recommendation for inorganic synthesis by machine learning materials similarity from scientific literature
Synthesis prediction is a key accelerator for the rapid design of advanced materials. However, determining synthesis variables such as the choice of precursor materials is challenging for inorganic materials because the sequence of reactions during heating is not well understood. In this work, we us...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Association for the Advancement of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256153/ https://www.ncbi.nlm.nih.gov/pubmed/37294767 http://dx.doi.org/10.1126/sciadv.adg8180 |