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

Scheffler, Matthias

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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-7F1E-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-7F1F-0

Genre: Talk

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Creators:
Scheffler, Matthias¹, Author

Affiliations:
1Theory, Fritz Haber Institute, Max Planck Society, ou_634547

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Title: WATOC2017, 11th Triennial Congress of the World Association of Theoretical and Computational Chemistry

Place of Event: Munich, Germany

Start-/End Date: 2017-09

Invited: Yes

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