Affiliation:
1. Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana 46556, USA
Abstract
Sigma profiles are shown to be universal molecular descriptors in the prediction of material properties using powerful deep learning methodologies.
Funder
U.S. Department of Energy
Publisher
Royal Society of Chemistry (RSC)
Subject
Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis
Cited by
31 articles.
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