Transferable and Extensible Machine Learning-Derived Atomic Charges for Modeling Hybrid Nanoporous Materials

Title
Transferable and Extensible Machine Learning-Derived Atomic Charges for Modeling Hybrid Nanoporous Materials
Authors
Keywords
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Journal
CHEMISTRY OF MATERIALS
Volume 32, Issue 18, Pages 7822-7831
Publisher
American Chemical Society (ACS)
Online
2020-08-26
DOI
10.1021/acs.chemmater.0c02468

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