journal article·2025-06-10

Revealing the Crystalline Architecture of Semicrystalline Ion Exchange Membranes for the Design of Conductive and Durable Alkaline Anion Exchange Membranes

Danielle Markovich, Michael Colletta, Yue Yu, Megan Treichel, Bryan S. Pivovar, David A. Muller, Kevin J. T. Noonan, Lena F. Kourkoutis

ACS Nano· Volume 19· Issue 22
Publisher page

Abstract

Alkaline anion exchange membrane (AAEM) fuel cells offer a cost-effective alternative to proton exchange membrane (PEM) fuel cells by eliminating the need for expensive precious metal catalysts. In both PEMs and AAEMs, semicrystalline polymers are a common choice, as the crystalline domains can act as mechanical reinforcements that limit swelling and promote mechanical durability in the material. However, spatially resolved characterization of crystalline organization in ion exchange membranes beyond ensemble-averaged X-ray scattering is underrepresented, likely in part due to ionization damage limitations in soft materials. Here, we resolve the nanometer-size crystallites in semicrystalline ion exchange membranes by applying cryogenic four-dimensional scanning transmission electron microscopy (cryo-4D-STEM) along with data-processing algorithms designed to optimize signals at a low dose to minimize radiation damage. We investigate the effects of synthesis components, including molecular weight and thermal treatment, on a model system of AAEMs in comparison to Nafion, the most commonly used and commercially successful PEM today. We find that excess water uptake in polymer membranes, a property directly associated with weak mechanical durability and with possible negative impacts on ion conductivity, can be reduced by over 30% by varying the polymer's crystalline morphology through changes in synthesis parameters such as molecular weight and thermal history. Our results indicate that this improvement is correlated with smaller crystalline domains with a more homogeneous distribution. More broadly, these results demonstrate how the crystalline architecture of polymer membranes can be tuned through their chemistry and thermal treatment in order to improve their conductivity and durability for commercial fuel cell performance.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Fuel Cells and Related Materials · Membrane-based Ion Separation Techniques · Advanced battery technologies research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Applied and Engineering Physics

Cornell University

Department of Chemistry

Carnegie Mellon University

Chemical and Materials Science Center

National Renewable Energy Laboratory

Kavli Institute at Cornell for Nanoscale Science

Funding

Basic Energy Sciences · Kavli Institute at Cornell, Cornell University · NSF · Weill Institute at Cornell

References (48)

Show source-provided references
1. 10.1021/cr020712310.1021/cr0207123 ↗
2. 10.1016/j.ijhydene.2019.09.09610.1016/j.ijhydene.2019.09.096 ↗
3. 10.1021/acs.chemrev.6b0015910.1021/acs.chemrev.6b00159 ↗
4. 10.1021/cr050182l10.1021/cr050182l ↗
5. 10.1021/acs.chemrev.1c0033110.1021/acs.chemrev.1c00331 ↗
6. 10.1038/nature0079710.1038/nature00797 ↗
7. 10.1021/acs.chemrev.5b0073610.1021/acs.chemrev.5b00736 ↗
8. 10.1038/s41557-018-0010-210.1038/s41557-018-0010-2 ↗
9. 10.1039/C4EE01303D10.1039/C4EE01303D ↗
10. 10.1016/j.jpowsour.2017.08.01010.1016/j.jpowsour.2017.08.010 ↗
11. 10.1016/j.progpolymsci.2019.10117710.1016/j.progpolymsci.2019.101177 ↗
12. 10.1038/s41467-019-09503-410.1038/s41467-019-09503-4 ↗
13. 10.1021/acsaem.1c0209410.1021/acsaem.1c02094 ↗
14. 10.1073/pnas.190098811610.1073/pnas.1900988116 ↗
15. 10.1039/C7PY01084B10.1039/C7PY01084B ↗
16. 10.1021/mz500606h10.1021/mz500606h ↗
17. 10.1039/C3EE43275K10.1039/C3EE43275K ↗
18. 10.1021/ar200201x10.1021/ar200201x ↗
19. 10.1039/b702339a10.1039/b702339a ↗
20. 10.1021/acs.macromol.8b0003410.1021/acs.macromol.8b00034 ↗
21. 10.1016/0021-9517(87)90166-710.1016/0021-9517(87)90166-7 ↗
22. 10.1002/jemt.106011020910.1002/jemt.1060110209 ↗
23. 10.1017/S143192761900049710.1017/S1431927619000497 ↗
24. 10.1016/S0304-3991(02)00435-710.1016/S0304-3991(02)00435-7 ↗
25. 10.1016/j.ultramic.2012.12.01910.1016/j.ultramic.2012.12.019 ↗
26. 10.1016/j.apsusc.2003.11.05810.1016/j.apsusc.2003.11.058 ↗
27. 10.1063/1.322488610.1063/1.3224886 ↗
28. 10.1016/j.ultramic.2008.11.02310.1016/j.ultramic.2008.11.023 ↗
29. 10.1038/s41563-019-0387-310.1038/s41563-019-0387-3 ↗
30. 10.1038/s41563-024-02016-610.1038/s41563-024-02016-6 ↗
31. 10.1038/s42003-018-0263-810.1038/s42003-018-0263-8 ↗
32. 10.1021/acs.accounts.1c0007310.1021/acs.accounts.1c00073 ↗
33. 10.1093/jmicro/dfz01510.1093/jmicro/dfz015 ↗
34. 10.1016/j.isci.2022.10388210.1016/j.isci.2022.103882 ↗
35. 10.1017/S143192762200017410.1017/S1431927622000174 ↗
36. 10.1021/acs.macromol.0c0042210.1021/acs.macromol.0c00422 ↗
37. 10.1021/ma048013a10.1021/ma048013a ↗
38. 10.1021/ja905242r10.1021/ja905242r ↗
39. 10.1021/acs.organomet.7b0066310.1021/acs.organomet.7b00663 ↗
40. 10.1021/acs.joc.0c0205110.1021/acs.joc.0c02051 ↗
41. 10.1002/pen.76022040210.1002/pen.760220402 ↗
42. 10.1016/j.jpcs.2018.04.02810.1016/j.jpcs.2018.04.028 ↗
43. 10.1021/j150570a01510.1021/j150570a015 ↗
44. 10.1002/cssc.20170233010.1002/cssc.201702330 ↗
45. 10.1016/j.micron.2019.01.00510.1016/j.micron.2019.01.005 ↗
46. 10.1021/acs.macromol.1c0068310.1021/acs.macromol.1c00683 ↗
47. 10.1021/ma00230a02310.1021/ma00230a023 ↗
48. 10.1017/S143192762100047710.1017/S1431927621000477 ↗