Theory-Guided Machine Learning in Materials Science

Materials scientists are increasingly adopting the use of machine learning tools to discover hidden trends in data and make predictions. Applying concepts from data science without foreknowledge of their limitations and the unique qualities of materials data, however, could lead to errant conclusion...

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Veröffentlicht in:	Frontiers in materials 2016-06, Vol.3
Hauptverfasser:	Wagner, Nicholas, Rondinelli, James M.
Format:	Artikel
Sprache:	eng
Schlagworte:	descriptor selection machine learning materials informatics MATERIALS SCIENCE overfitting theory
Online-Zugang:	Volltext
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