The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Weakly Humidity‐Dependent Proton‐Conducting COF Membranes
Abstract
State‐of‐the‐art proton exchange membranes (PEMs) often suffer from significantly reduced conductivity under low relative humidity, hampering their efficient application in fuel cells. Covalent organic frameworks (COFs) with pre‐designable and well‐defined structures hold promise to cope with the above challenge. However, fabricating defect‐free, robust COF membranes proves an extremely difficult task due to the poor processability of COF materials. Herein, a bottom‐up approach is developed to synthesize intrinsic proton‐conducting COF (IPC‐COF) nanosheets (NUS‐9) in aqueous solutions via diffusion and solvent co‐mediated modulation, enabling a controlled nucleation and in‐plane‐dominated IPC‐COF growth. These nanosheets allow the facile fabrication of IPC‐COF membranes. IPC‐COF membranes with crystalline, rigid ion nanochannels exhibit a weakly humidity‐dependent conductivity over a wide range of humidity (30–98%), 1–2 orders of magnitude higher than that of benchmark PEMs, and a prominent fuel cell performance of 0.93 W cm−2 at 35% RH and 80 °C arising from superior water retention and Grotthuss mechanism‐dominated proton conduction.
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
New Insights into Perfluorinated Sulfonic-Acid Ionomers
Kusoglu, A., & Weber, A. Z. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00159 · Cited by 2,432
Kreuer, K.-D., Paddison, S. J., Spohr, E., & Schuster, M. (2004) · Chemical Reviews · doi:10.1021/cr020715f · Cited by 2,187
Cited by
Yin, Z., Geng, H., Yang, P., Shi, B., Fan, C., Peng, Q., Wu, H., & Jiang, Z. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2021.05.119 · Cited by 63
Self-citation
Metadata
- Authors
- Cao, L., Wu, H., Cao, Y., Fan, C., Zhao, R., He, X., Yang, P., Shi, B., You, X., & Jiang, Z.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-11-12
- Volume
- 32
- Issue
- 52
- Pages
- e2005565-e2005565
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3101303651
- Cited by
- 427
- References
- 2
- FWCI
- 16.54
- 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
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.