The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor
Open accessAbstract
A strain sensor has been fabricated from a polymer nanocomposite with multiwalled carbon nanotube (MWNT) fillers. The piezoresistivity of this nanocomposite strain sensor has been investigated based on an improved three-dimensional (3D) statistical resistor network model incorporating the tunneling effect between the neighboring carbon nanotubes (CNTs), and a fiber reorientation model. The numerical results agree very well with the experimental measurements. As compared with traditional strain gauges, much higher sensitivity can be obtained in the nanocomposite sensors when the volume fraction of CNT is close to the percolation threshold. For a small CNT volume fraction, weak nonlinear piezoresistivity is observed both experimentally and from numerical simulation. The tunneling effect is considered to be the principal mechanism of the sensor under small strains.
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
Carbon Nanotubes--the Route Toward Applications
Baughman, R. H., Zakhidov, A. A., & de Heer, W. A. (2002) · Science · doi:10.1126/science.1060928 · Cited by 10,267
Kirkpatrick, S. (1973) · Reviews of Modern Physics · doi:10.1103/revmodphys.45.574 · Cited by 5,260
Simmons, J. G. (1963) · Journal of Applied Physics · doi:10.1063/1.1702682 · Cited by 4,200
Reversible electromechanical characteristics of carbon nanotubes underlocal-probe manipulation
Tombler, T. W., Zhou, C., Alexseyev, L., Kong, J., Dai, H., Liu, L., Jayanthi, C. S., Tang, M., & Wu, S.-Y. (2000) · Nature · doi:10.1038/35015519 · Cited by 1,207
A carbon nanotube strain sensor for structural health monitoring
Kang, I., Schulz, M. J., Kim, J. H., Shanov, V., & Shi, D. (2006) · Smart Materials and Structures · doi:10.1088/0964-1726/15/3/009 · Cited by 1,004
Classical Transport in Disordered Media: Scaling and Effective-Medium Theories
Kirkpatrick, S. (1971) · Physical Review Letters · doi:10.1103/physrevlett.27.1722 · Cited by 724
Fluctuation-Induced Tunneling Conduction in Carbon-Polyvinylchloride Composites
Sheng, P., Sichel, E. K., & Gittleman, J. I. (1978) · Physical Review Letters · doi:10.1103/physrevlett.40.1197 · Cited by 628
Electronic Structure of Deformed Carbon Nanotubes
Yang, L., & Han, J. (2000) · Physical Review Letters · doi:10.1103/physrevlett.85.154 · Cited by 603
Nanotube film based on single-wall carbon nanotubes for strain sensing
Dharap, P., Li, Z., Nagarajaiah, S., & Barrera, E. V. (2004) · Nanotechnology · doi:10.1088/0957-4484/15/3/026 · Cited by 518
Processing and modeling of conductive thermoplastic/carbon nanotube films for strain sensing
Pham, G. T., Park, Y.-B., Liang, Z., Zhang, C., & Wang, B. (2008) · Composites Part B: Engineering · doi:10.1016/j.compositesb.2007.02.024 · Cited by 335
Cited by
Stretchable, Skin-Mountable, and Wearable Strain Sensors and Their Potential Applications: A Review
Amjadi, M., Kyung, K., Park, I., & Sitti, M. (2016) · Advanced Functional Materials · doi:10.1002/adfm.201504755 · Cited by 3,202
Pursuing prosthetic electronic skin
Chortos, A., Liu, J., & Bao, Z. (2016) · Nature Materials · doi:10.1038/nmat4671 · Cited by 2,396
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
Sensitive, High-Strain, High-Rate Bodily Motion Sensors Based on Graphene–Rubber Composites
Boland, C. S., Khan, U., Backes, C., O’Neill, A., McCauley, J., Duane, S., Shanker, R., Liu, Y., Jurewicz, I., Dalton, A. B., et al. (2014) · ACS Nano · doi:10.1021/nn503454h · Cited by 793
A Path Beyond Metal and Silicon:Polymer/Nanomaterial Composites for Stretchable Strain Sensors
Qiu, A., Li, P., Yang, Z., Yao, Y., Lee, I., & Ma, J. (2019) · Advanced Functional Materials · doi:10.1002/adfm.201806306 · Cited by 237
Metadata
- Authors
- Hu, N., Karube, Y., Yan, C., Masuda, Z., & Fukunaga, H.
- Venue
- Acta Materialia
- Publisher
- Elsevier BV
- Published
- 2008-08
- Volume
- 56
- Issue
- 13
- Pages
- 2929-2936
- ISSN
- 1359-6454 (ISSN-L)
- OpenAlex
- W1549826942
- Cited by
- 990
- References
- 12
- FWCI
- 11.12
- Type
- journal article
- Language
- en
- Open access
- green
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: Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor. https://app.cochat.ai/papers/10.1016/j.actamat.2008.02.030
- The paper
- Hu, N., Karube, Y., Yan, C., Masuda, Z., & Fukunaga, H. (2008). Tunneling effect in a polymer/carbon nanotube nanocomposite strain sensor. Acta Materialia. https://doi.org/10.1016/j.actamat.2008.02.030
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.