Physics-Guided Descriptors for Prediction of Structural Polymorphs
Author:
Affiliation:
1. Materials Theory, ETH Zürich, Wolfgang-Pauli-Strasse 27, 8093 Zürich, Switzerland
Funder
Eidgen?ssische Technische Hochschule Z?rich
K?rber-Stiftung
H2020 European Research Council
Publisher
American Chemical Society (ACS)
Subject
General Materials Science,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.2c01876
Reference49 articles.
1. Predicting the Band Gaps of Inorganic Solids by Machine Learning
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5. Compositionally restricted attention-based network for materials property predictions
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