Machine learning reveals key ion selectivity mechanisms in polymeric membranes with subnanometer pores-Reference-Cited by-同舟云学术

Machine learning reveals key ion selectivity mechanisms in polymeric membranes with subnanometer pores

Author:

Ritt Cody L.¹^ORCID,Liu Mingjie²^ORCID,Pham Tuan Anh³^ORCID,Epsztein Razi⁴^ORCID,Kulik Heather J.²^ORCID,Elimelech Menachem¹^ORCID

Affiliation:

1. Department of Chemical and Environmental Engineering, Yale University, New Haven, CT 06520-8286, USA.

2. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

3. Quantum Simulations Group, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA.

4. Faculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa 32000, Israel.

Abstract

Machine learning unveils molecular transport mechanisms obscured by entropy-enthalpy compensation in polymeric membranes.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference80 articles.

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