Machine Learning for Molecules and Materials: Potential and Limitations of 
Data-Driven Chemistry

Rupp, Matthias

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Machine Learning for Molecules and Materials: Potential and Limitations of Data-Driven Chemistry

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

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Rupp, M. (2018). Machine Learning for Molecules and Materials: Potential and Limitations of Data-Driven Chemistry. Talk presented at 27th Austin Symposium on Molecular Structure and Dynamics, ASMD. Dallas, TX, USA. 2018-03.

Cite as: https://hdl.handle.net/21.11116/0000-0000-EDB9-5

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