A framework for materials informatics education through workshops

The burgeoning field of materials informatics necessitates a focus on educating the next generation of materials scientists in the concepts of data science, artificial intelligence (AI), and machine learning (ML). In addition to incorporating these topics in undergraduate and graduate curricula, reg...

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Veröffentlicht in:	MRS bulletin 2023-05, Vol.48 (5), p.560-569
Hauptverfasser:	Mannodi-Kanakkithodi, Arun, McDannald, Austin, Sun, Shijing, Desai, Saaketh, Brown, Keith A., Kusne, A. Gilad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied and Technical Physics Artificial intelligence Characterization and Evaluation of Materials Chemistry and Materials Science Data science Education Energy Materials Informatics Machine learning Materials Engineering Materials information MATERIALS SCIENCE Meetings Nanotechnology Review Review Article Workshops
Online-Zugang:	Volltext
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