Deep learning combined with IAST to screen thermodynamically feasible MOFs for adsorption-based separation of multiple binary mixtures
Author:
Affiliation:
1. Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado 80401, USA
Funder
National Science Foundation
Publisher
AIP Publishing
Subject
Physical and Theoretical Chemistry,General Physics and Astronomy
Link
https://aip.scitation.org/doi/am-pdf/10.1063/5.0048736
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