Machine learning and in-silico screening of metal–organic frameworks for O2/N2 dynamic adsorption and separation

标题
Machine learning and in-silico screening of metal–organic frameworks for O2/N2 dynamic adsorption and separation
作者
关键词
Metal–organic frameworks, Simulation, High-throughput computational screening, Machine learning
出版物
CHEMICAL ENGINEERING JOURNAL
Volume 427, Issue -, Pages 131604
出版商
Elsevier BV
发表日期
2021-08-11
DOI
10.1016/j.cej.2021.131604

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