Introducing artificial MOFs for improved machine learning predictions: Identification of top-performing materials for methane storage
Author:
Affiliation:
1. Department of Chemistry, University of Crete, Voutes Campus, GR-70013 Heraklion, Crete, Greece
2. Material Engineering Division, Toyota Motor Europe NV/SA, Technical Center, Hoge Wei 33B, 1930 Zaventem, Belgium
Funder
Toyota Motor Europe
European Regional Development Fund of EU and Greece
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
https://aip.scitation.org/doi/pdf/10.1063/5.0075994
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