Discovering Interpretable Patterns, Correlations, and Causality in Big Data of 
Materials

Scheffler, Matthias

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Discovering Interpretable Patterns, Correlations, and Causality in Big Data of Materials

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

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Scheffler, M. (2017). Discovering Interpretable Patterns, Correlations, and Causality in Big Data of Materials. Talk presented at The 15th International Nanotech Symposium & Nano-Convergence Expo (NANO KOREA 2017). Goyang, South Korea. 2017-07-12 - 2017-07-14.

Cite as: https://hdl.handle.net/11858/00-001M-0000-002D-C9B0-8

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