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Big Data of the Chemical Physics of Materials: Discovering Interpretable Patterns, Correlations and Causality

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Scheffler,  Matthias
Theory, Fritz Haber Institute, Max Planck Society;

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Scheffler, M. (2017). Big Data of the Chemical Physics of Materials: Discovering Interpretable Patterns, Correlations and Causality. Talk presented at WATOC2017, 11th Triennial Congress of the World Association of Theoretical and Computational Chemistry. Munich, Germany. 2017-09.


Cite as: http://hdl.handle.net/21.11116/0000-0001-7F1E-1
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