The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fast Ion Transport Pathway Provided by Polyethylene Glycol Confined in Covalent Organic Frameworks
Abstract
Covalent organic frameworks (COFs) with well-tailored channels are able to accommodate ions and offer their conduction pathway. However, due to strong Coulombic interaction and the lack of transport medium, directly including lithium salts into the channels of COFs results in limited ion transport capability. Herein, we propose a strategy of incorporating low-molecular-weight polyethylene glycol (PEG) into COFs with anionic, neutral, or cationic skeletons to accelerate Li + conduction. The PEG confined in the well-aligned channels retains high flexibility and Li + solvating ability. The ion conductivity of PEG included in a cationic COF can reach 1.78 × 10 –3 S cm –1 at 120 °C. The simplicity of this strategy as well as the diversity of crystalline porous materials holds great promise to design high-performance all-solid-state ion conductors.
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
Metal-organic framework materials as catalysts
Lee, J., Farha, O. K., Roberts, J., Scheidt, K. A., Nguyen, S. T., & Hupp, J. T. (2009) · Chemical Society Reviews · doi:10.1039/b807080f · Cited by 7,969
Cited by
Liu, R., Tan, K. T., Gong, Y., Chen, Y., Li, Z., Xie, S., He, T., Lu, Z., Yang, H., & Jiang, D. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00620c · Cited by 1,083
Metadata
- Authors
- Guo, Z., Zhang, Y., Dong, Y., Li, J., Li, S., Shao, P., Feng, X., & Wang, B.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2019-01-18
- Volume
- 141
- Issue
- 5
- Pages
- 1923-1927
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2911181015
- Cited by
- 331
- References
- 1
- FWCI
- 14.36
- 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: Fast Ion Transport Pathway Provided by Polyethylene Glycol Confined in Covalent Organic Frameworks. https://app.cochat.ai/papers/10.1021/jacs.8b13551
- The paper
- Guo, Z., Zhang, Y., Dong, Y., Li, J., Li, S., Shao, P., Feng, X., & Wang, B. (2019). Fast Ion Transport Pathway Provided by Polyethylene Glycol Confined in Covalent Organic Frameworks. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.8b13551
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.
