The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Lightweight, Superelastic, and Mechanically Flexible Graphene/Polyimide Nanocomposite Foam for Strain Sensor Application
Abstract
The creation of superelastic, flexible three-dimensional (3D) graphene-based architectures is still a great challenge due to structure collapse or significant plastic deformation. Herein, we report a facile approach of transforming the mechanically fragile reduced graphene oxide (rGO) aerogel into superflexible 3D architectures by introducing water-soluble polyimide (PI). The rGO/PI nanocomposites are fabricated using strategies of freeze casting and thermal annealing. The resulting monoliths exhibit low density, excellent flexibility, superelasticity with high recovery rate, and extraordinary reversible compressibility. The synergistic effect between rGO and PI endows the elastomer with desirable electrical conductivity, remarkable compression sensitivity, and excellent durable stability. The rGO/PI nanocomposites show potential applications in multifunctional strain sensors under the deformations of compression, bending, stretching, and torsion.
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
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Self-Assembled Graphene Hydrogel via a One-Step Hydrothermal Process
Xu, Y., Sheng, K., Li, C., & Shi, G. (2010) · ACS Nano · doi:10.1021/nn101187z · Cited by 3,251
Mesoscale assembly of chemically modified graphene into complex cellular networks
Barg, S., Perez, F. M., Ni, N., do Vale Pereira, P., Maher, R. C., Garcia-Tuñon, E., Eslava, S., Agnoli, S., Mattevi, C., & Saiz, E. (2014) · Nature Communications · doi:10.1038/ncomms5328 · Cited by 285
Zhang, Y., Fan, W., Huang, Y., Zhang, C., & Liu, T. (2015) · RSC Advances · doi:10.1039/c4ra13015d · Cited by 112
Cited by
Liao, M., Wan, P., Wen, J., Gong, M., Wu, X., Wang, Y., Shi, R., & Zhang, L. (2017) · Advanced Functional Materials · doi:10.1002/adfm.201703852 · Cited by 760
Liu, Q., Chen, J., Li, Y., & Shi, G. (2016) · ACS Nano · doi:10.1021/acsnano.6b03813 · Cited by 609
Self-citationGraphene-based wearable piezoresistive physical sensors
Zheng, Q., Lee, J.-H., Shen, X., Chen, X., & Kim, J.-K. (2020) · Materials Today · doi:10.1016/j.mattod.2019.12.004 · Cited by 486
Advances in graphene-based flexible and wearable strain sensors
Chen, H., Zhuo, F., Zhou, J., Liu, Y., Zhang, J., Dong, S., Liu, X., Elmarakbi, A., Duan, H., & Fu, Y. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2023.142576 · Cited by 386
Min, P., Liu, J., Li, X., An, F., Liu, P., Shen, Y., Koratkar, N., & Yu, Z. (2018) · Advanced Functional Materials · doi:10.1002/adfm.201805365 · Cited by 375
Metadata
- Authors
- Qin, Y., Peng, Q., Ding, Y., Lin, Z., Wang, C., Li, Y., Xu, F., Li, J., Yuan, Y., He, X., & Li, Y.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-08-31
- Volume
- 9
- Issue
- 9
- Pages
- 8933-8941
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2442938455
- Cited by
- 775
- References
- 4
- FWCI
- 30.83
- 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: Lightweight, Superelastic, and Mechanically Flexible Graphene/Polyimide Nanocomposite Foam for Strain Sensor Application. https://app.cochat.ai/papers/10.1021/acsnano.5b02781
- The paper
- Qin, Y., Peng, Q., Ding, Y., Lin, Z., Wang, C., Li, Y., Xu, F., Li, J., Yuan, Y., He, X., & Li, Y. (2015). Lightweight, Superelastic, and Mechanically Flexible Graphene/Polyimide Nanocomposite Foam for Strain Sensor Application. ACS Nano. https://doi.org/10.1021/acsnano.5b02781
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.
