The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A self-healable and highly stretchable supercapacitor based on a dual crosslinked polyelectrolyte
Open accessAbstract
Superior self-healability and stretchability are critical elements for the practical wide-scale adoption of personalized electronics such as portable and wearable energy storage devices. However, the low healing efficiency of self-healable supercapacitors and the small strain of stretchable supercapacitors are fundamentally limited by conventional polyvinyl alcohol-based acidic electrolytes, which are intrinsically neither self-healable nor highly stretchable. Here we report an electrolyte comprising polyacrylic acid dual crosslinked by hydrogen bonding and vinyl hybrid silica nanoparticles, which displays all superior functions and provides a solution to the intrinsic self-healability and high stretchability problems of a supercapacitor. Supercapacitors with this electrolyte are non-autonomic self-healable, retaining the capacitance completely even after 20 cycles of breaking/healing. These supercapacitors are stretched up to 600% strain with enhanced performance using a designed facile electrode fabrication procedure.
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
Kim, D.-H., Lu, N., Ma, R., Kim, Y.-S., Kim, R.-H., Wang, S., Wu, J., Won, S. M., Tao, H., Islam, A., et al. (2011) · Science · doi:10.1126/science.1206157 · Cited by 4,836
Self-citation
Cited by
Energy storage: The future enabled by nanomaterials
Pomerantseva, E., Bonaccorso, F., Feng, X., Cui, Y., & Gogotsi, Y. (2019) · Science · doi:10.1126/science.aan8285 · Cited by 1,927
Electrically Conductive Porous Metal–Organic Frameworks
Sun, L., Campbell, M. G., & Dincă, M. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201506219 · Cited by 1,901
Battery‐Supercapacitor Hybrid Devices: Recent Progress and Future Prospects
Zuo, W., Li, R., Zhou, C., Li, Y., Xia, J., & Liu, J. (2017) · Advanced Science · doi:10.1002/advs.201600539 · Cited by 1,637
Advanced Carbon for Flexible and Wearable Electronics
Wang, C., Xia, K., Wang, H., Liang, X., Yin, Z., & Zhang, Y. (2019) · Advanced Materials · doi:10.1002/adma.201801072 · Cited by 1,300
Flexible and Stretchable Energy Storage: Recent Advances and Future Perspectives
Liu, W., Song, M., Kong, B., & Cui, Y. (2017) · Advanced Materials · doi:10.1002/adma.201603436 · Cited by 1,202
Metadata
- Authors
- Huang, Y., Zhong, M., Huang, Y., Zhu, M., Pei, Z., Wang, Z., Xue, Q., Xie, X., & Zhi, C.
- Venue
- Nature Communications
- Published
- 2015-12-22
- Volume
- 6
- Issue
- 1
- Pages
- 10310-10310
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2265740622
- Cited by
- 742
- References
- 1
- FWCI
- 22.45
- Type
- journal article
- Language
- en
- Open access
- gold
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.