The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The resistivity–strain behavior of conductive polymer composites: stability and sensitivity
Abstract
The use of conductive polymer composites (CPCs) for strain sensing applications has attracted intense interest lately. The stability and sensitivity of resistivity–strain behaviour are thought to be important issues, but systematic investigations are missing. Herein, the resistivity–strain behavior in terms of stability and sensitivity of CPCs based on poly(styrene-butadiene-styrene) (SBS) containing multiwalled carbon nanotubes (MWCNTs) are studied. It is demonstrated that the preparation method has an important influence on the resistivity–strain behavior of these CPCs. Under linear uniaxial strain, the sensitivity increases with decreasing filler content for both composites, showing higher strain sensitivity near the percolation threshold. Moreover, a higher and wider range of sensitivities is obtained for SBS/MWCNT composites from melt mixing. Under dynamic strain, resistivity downward drifting and shoulder peaks are shown for composites from melt mixing, while linear relationships and reversible resistivity in every cycle are observed for composites from solution mixing, showing good electromechanical consistency, stability and durability. From the TEM, rheology, SEM, SAXS, Raman microscopy and analytical modeling studies, the difference in morphology is thought to be responsible for such resistivity–strain behavior. As more disordered and less densely packed conductive networks in melt-mixed CPCs are more easily destroyed under strain, evenly distributed and densely packed networks in solution mixed CPCs are more stable during cyclic stretching. Finally, human knee motions have been detected using these CPCs, demonstrating a potential application of these CPCs as movement sensors.
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
Park, J., Lee, Y., Hong, J., Ha, M., Jung, Y.-D., Lim, H., Kim, S. Y., & Ko, H. (2014) · ACS Nano · doi:10.1021/nn500441k · Cited by 915
Cited by
Duan, L., D'hooge, D. R., & Cardon, L. (2020) · Progress in Materials Science · doi:10.1016/j.pmatsci.2019.100617 · Cited by 554
Self-citationZheng, Y., Li, Y., Dai, K., Wang, Y., Zheng, G., Liu, C., & Shen, C. (2018) · Composites Science and Technology · doi:10.1016/j.compscitech.2018.01.019 · Cited by 369
Chen, J., Zhu, Y., & Jiang, W. (2020) · Composites Science and Technology · doi:10.1016/j.compscitech.2019.107938 · Cited by 253
High-performance flexible strain sensor with bio-inspired crack arrays
Han, Z., Liu, L., Zhang, J., Han, Q., Wang, K., Song, H., Wang, Z., Jiao, Z., Niu, S., & Ren, L. (2018) · Nanoscale · doi:10.1039/c8nr02514b · Cited by 172
Self-citationUltrasensitive and Stretchable Strain Sensors Based on Mazelike Vertical Graphene Network
Wu, S., Peng, S., Han, Z. J., Zhu, H., & Wang, C. H. (2018) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b15848 · Cited by 144
Metadata
- Authors
- Duan, L., Fu, S., Deng, H., Zhang, Q., Wang, K., Chen, F., & Fu, Q.
- Venue
- J. Mater. Chem. A
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014-08-15
- Volume
- 2
- Issue
- 40
- Pages
- 17085-17098
- ISSN
- 2050-7488 (ISSN-L)
- 2050-7496
- OpenAlex
- W2062819162
- Cited by
- 233
- References
- 1
- FWCI
- 3.15
- 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: The resistivity–strain behavior of conductive polymer composites: stability and sensitivity. https://app.cochat.ai/papers/10.1039/c4ta03645j
- The paper
- Duan, L., Fu, S., Deng, H., Zhang, Q., Wang, K., Chen, F., & Fu, Q. (2014). The resistivity–strain behavior of conductive polymer composites: stability and sensitivity. J. Mater. Chem. A. https://doi.org/10.1039/c4ta03645j
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.