The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Highly Stretchable and Transparent Thermistor Based on Self-Healing Double Network Hydrogel
Abstract
An ultrastretchable thermistor that combines intrinsic stretchability, thermal sensitivity, transparency, and self-healing capability is fabricated. It is found the polyacrylamide/carrageenan double network (DN) hydrogel is highly sensitive to temperature and therefore can be exploited as a novel channel material for a thermistor. This thermistor can be stretched from 0 to 330% strain with the sensitivity as high as 2.6%/°C at extreme 200% strain. Noticeably, the mechanical, electrical, and thermal sensing properties of the DN hydrogel can be self-healed, analogous to the self-healing capability of human skin. The large mechanical deformations, such as flexion and twist with large angles, do not affect the thermal sensitivity. Good flexibility enables the thermistor to be attached on nonplanar curvilinear surfaces for practical temperature detection. Remarkably, the thermal sensitivity can be improved by introducing mechanical strain, making the sensitivity programmable. This thermistor with tunable sensitivity is advantageous over traditional rigid thermistors that lack flexibility in adjusting their sensitivity. In addition to superior sensitivity and stretchability compared with traditional thermistors, this DN hydrogel-based thermistor provides additional advantages of good transparency and self-healing ability, enabling it to be potentially integrated in soft robots to grasp real world information for guiding their actions.
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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-citationStretchable silicon nanoribbon electronics for skin prosthesis
Kim, J., Lee, M., Shim, H. J., Ghaffari, R., Cho, H. R., Son, D., Jung, Y. H., Soh, M., Choi, C., Jung, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms6747 · Cited by 1,435
Ultrathin conformal devices for precise and continuous thermal characterization of human skin
Webb, R. C., Bonifas, A. P., Behnaz, A., Zhang, Y., Yu, K. J., Cheng, H., Shi, M., Bian, Z., Liu, Z., Kim, Y.-S., et al. (2013) · Nature Materials · doi:10.1038/nmat3755 · Cited by 1,229
Highly Stretchable Piezoresistive Graphene–Nanocellulose Nanopaper for Strain Sensors
Yan, C., Wang, J., Kang, W., Cui, M., Wang, X., Foo, C. Y., Chee, K. J., & Lee, P. S. (2014) · Advanced Materials · doi:10.1002/adma.201304742 · Cited by 1,179
Cai, G., Wang, J., Qian, K., Chen, J., Li, S., & Lee, P. S. (2017) · Advanced Science · doi:10.1002/advs.201600190 · Cited by 921
Trung, T. Q., Ramasundaram, S., Hwang, B., & Lee, N. (2016) · Advanced Materials · doi:10.1002/adma.201504441 · Cited by 870
A Highly Elastic, Capacitive Strain Gauge Based on Percolating Nanotube Networks
Cohen, D. J., Mitra, D., Peterson, K., & Maharbiz, M. M. (2012) · Nano Letters · doi:10.1021/nl204052z · Cited by 501
Stretchable Graphene Thermistor with Tunable Thermal Index
Yan, C., Wang, J., & Lee, P. S. (2015) · ACS Nano · doi:10.1021/nn507441c · Cited by 359
Electronic Skin with Multifunction Sensors Based on Thermosensation
Zhao, S., & Zhu, R. (2017) · Advanced Materials · doi:10.1002/adma.201606151 · Cited by 273
Biomimetic temperature-sensing layer for artificial skins
Di Giacomo, R., Bonanomi, L., Costanza, V., Maresca, B., & Daraio, C. (2017) · Science Robotics · doi:10.1126/scirobotics.aai9251 · Cited by 88
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Xu, K., Lu, Y., & Takei, K. (2019) · Advanced Materials Technologies · doi:10.1002/admt.201800628 · Cited by 602
Wu, J., Wu, Z., Xu, H., Wu, Q., Liu, C., Yang, B.-R., Gui, X., Xie, X., Tao, K., Shen, Y., et al. (2019) · Materials Horizons · doi:10.1039/c8mh01160e · Cited by 391
Self-citationWu, J., Wu, Z., Lu, X., Han, S., Yang, B.-R., Gui, X., Tao, K., Miao, J., & Liu, C. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.8b20267 · Cited by 336
Self-citationEngineering Smart Composite Hydrogels for Wearable Disease Monitoring
Li, J., Ding, Q., Wang, H., Wu, Z., Gui, X., Li, C., Hu, N., Tao, K., & Wu, J. (2023) · Nano-Micro Letters · doi:10.1007/s40820-023-01079-5 · Cited by 304
Self-citation
Metadata
- Authors
- Wu, J., Han, S., Yang, T., Li, Z., Wu, Z., Gui, X., Tao, K., Miao, J., Norford, L. K., Liu, C., & Huo, F.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-05-25
- Volume
- 10
- Issue
- 22
- Pages
- 19097-19105
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2803174706
- Cited by
- 210
- References
- 10
- FWCI
- 10.19
- Type
- journal article
- Language
- en
- Open access
- closed
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