This content will become publicly available on September 27, 2020
Macromolecular design strategies toward tailoring free volume in glassy polymers for high performance gas separation membranes
Abstract
This review highlights recently reported novel macromolecular design strategies providing tailorable free volume for high performance gas separation membranes.
- Authors:
-
[1]
- Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, USA
- Publication Date:
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
- OSTI Identifier:
- 1569090
- Grant/Contract Number:
- SC0019024
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- Molecular Systems Design & Engineering
- Additional Journal Information:
- Journal Name: Molecular Systems Design & Engineering; Journal ID: ISSN 2058-9689
- Publisher:
- Royal Society of Chemistry (RSC)
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Corrado, Tanner, and Guo, Ruilan. Macromolecular design strategies toward tailoring free volume in glassy polymers for high performance gas separation membranes. United Kingdom: N. p., 2020.
Web. doi:10.1039/C9ME00099B.
Corrado, Tanner, & Guo, Ruilan. Macromolecular design strategies toward tailoring free volume in glassy polymers for high performance gas separation membranes. United Kingdom. doi:10.1039/C9ME00099B.
Corrado, Tanner, and Guo, Ruilan. Wed .
"Macromolecular design strategies toward tailoring free volume in glassy polymers for high performance gas separation membranes". United Kingdom. doi:10.1039/C9ME00099B.
@article{osti_1569090,
title = {Macromolecular design strategies toward tailoring free volume in glassy polymers for high performance gas separation membranes},
author = {Corrado, Tanner and Guo, Ruilan},
abstractNote = {This review highlights recently reported novel macromolecular design strategies providing tailorable free volume for high performance gas separation membranes.},
doi = {10.1039/C9ME00099B},
journal = {Molecular Systems Design & Engineering},
number = ,
volume = ,
place = {United Kingdom},
year = {2020},
month = {1}
}
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