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...

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Veröffentlicht in:	Science advances 2023-06, Vol.9 (23), p.eadg8180-eadg8180
Hauptverfasser:	He, Tanjin, Huo, Haoyan, Bartel, Christopher J, Wang, Zheren, Cruse, Kevin, Ceder, Gerbrand
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science MATERIALS SCIENCE Physical and Materials Sciences SciAdv r-articles
Online-Zugang:	Volltext
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