Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning

Published 2019 View Full Article

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Title
Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning
Authors
Keywords
-
Journal
Journal of Physical Chemistry Letters
Volume 11, Issue 1, Pages 40-47
Publisher
American Chemical Society (ACS)
Online
2019-12-07
DOI
10.1021/acs.jpclett.9b02971

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