Editorial for machine learning for understanding the physics of chemical processes.

Abstract

Authors

• Jigyasa Nigam
  Laboratory of Computational Science and Modeling, IMX, École Polytechnique Fédérale de Lausanne 1015 Lausanne Switzerland [email protected].
• Max Veit
  Department of Chemistry, University of York, York YO10 5DD, United Kingdom.

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