Machine learning and in-silico screening of metal–organic frameworks for O2/N2 dynamic adsorption and separation
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Title
Machine learning and in-silico screening of metal–organic frameworks for O2/N2 dynamic adsorption and separation
Authors
Keywords
Metal–organic frameworks, Simulation, High-throughput computational screening, Machine learning
Journal
CHEMICAL ENGINEERING JOURNAL
Volume 427, Issue -, Pages 131604
Publisher
Elsevier BV
Online
2021-08-11
DOI
10.1016/j.cej.2021.131604
References
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