The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Systematic Alkaline Stability Study of Polymer Backbones for Anion Exchange Membrane Applications
Abstract
Anion exchange membranes are an important component in alkaline electrochemical energy conversion and storage devices, and their alkaline stability plays a crucial role for the long-term use of these devices. Herein, a systematic study was conducted for the analysis of polymer backbone chemical stability in alkaline media. Nine representative polymer structures including poly(arylene ether)s, poly(biphenyl alkylene)s, and polystyrene block copolymers were investigated for their alkaline stability. Polymers with aryl ether bonds in their repeating unit showed poor chemical stability when treated with KOH and NaOCH 3 solutions, whereas polymers without aryl ether bonds [e.g., poly(biphenyl alkylene)s and polystyrene block copolymers] remained stable. Additional NMR studies and density functional theory (DFT) calculations of small molecule model compounds that mimic the chemical structures of poly(arylene ether)s confirmed that electron-withdrawing groups near to the aryl ether bonds in the repeating unit accelerate chemical degradation. Results from this study suggest that the use of all-carbon-based polymer repeating units (i.e., polymers not bearing aryl ether bonds) can enhance long-term alkaline stability of anion exchange membranes in electrochemical energy devices.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Anion-exchange membranes in electrochemical energy systems
Varcoe, J. R., Atanassov, P., Dekel, D. R., Herring, A. M., Hickner, M. A., Kohl, P. A., Kucernak, A. R., Mustain, W. E., Nijmeijer, K., Scott, K., et al. (2014) · Energy Environ. Sci. · doi:10.1039/c4ee01303d · Cited by 2,051
Cited by
Anion exchange membrane fuel cells: Current status and remaining challenges
Gottesfeld, S., Dekel, D. R., Page, M., Bae, C., Yan, Y., Zelenay, P., & Kim, Y. S. (2018) · Journal of Power Sources · doi:10.1016/j.jpowsour.2017.08.010 · Cited by 895
Self-citationDurability challenges of anion exchange membrane fuel cells
Mustain, W. E., Chatenet, M., Page, M., & Kim, Y. S. (2020) · Energy & Environmental Science · doi:10.1039/d0ee01133a · Cited by 677
Durability of anion exchange membrane water electrolyzers
Li, D., Motz, A. R., Bae, C., Fujimoto, C., Yang, G., Zhang, F.-Y., Ayers, K. E., & Kim, Y. S. (2021) · Energy & Environmental Science · doi:10.1039/d0ee04086j · Cited by 601
Self-citationElectrocatalysis in Alkaline Media and Alkaline Membrane-Based Energy Technologies
Yang, Y., Peltier, C. R., Zeng, R., Schimmenti, R., Li, Q., Huang, X., Yan, Z., Potsi, G., Selhorst, R., Lu, X., et al. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00331 · Cited by 544
Anion exchange polyelectrolytes for membranes and ionomers
Chen, N., & Lee, Y. M. (2021) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2020.101345 · Cited by 445
Metadata
- Authors
- Mohanty, A. D., Tignor, S. E., Krause, J. A., Choe, Y.-K., & Bae, C.
- Venue
- Macromolecules
- Publisher
- American Chemical Society (ACS)
- Published
- 2016-04-26
- Volume
- 49
- Issue
- 9
- Pages
- 3361-3372
- ISSN
- 0024-9297 (ISSN-L)
- 1520-5835
- OpenAlex
- W2343281899
- Cited by
- 400
- References
- 1
- FWCI
- 15.70
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Systematic Alkaline Stability Study of Polymer Backbones for Anion Exchange Membrane Applications. https://app.cochat.ai/papers/10.1021/acs.macromol.5b02550
- The paper
- Mohanty, A. D., Tignor, S. E., Krause, J. A., Choe, Y.-K., & Bae, C. (2016). Systematic Alkaline Stability Study of Polymer Backbones for Anion Exchange Membrane Applications. Macromolecules. https://doi.org/10.1021/acs.macromol.5b02550
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.