Open AccessMachine learning enables interpretable discovery of innovative polymers for gas separation membranes
Author(s) -
Jason Yang,
Lei Tao,
Jinlong He,
Jeffrey R. McCutcheon,
Ying Li
Publication year - 2022
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.abn9545
Subject(s) - membrane , polymer , fidelity , permeability (electromagnetism) , synthetic membrane , computer science , biochemical engineering , artificial intelligence , chemistry , materials science , nanotechnology , engineering , organic chemistry , telecommunications , biochemistry
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