The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Highly Sensitive Capacitive Pressure Sensors over a Wide Pressure Range Enabled by the Hybrid Responses of a Highly Porous Nanocomposite
Open accessAbstract
Past research aimed at increasing the sensitivity of capacitive pressure sensors has mostly focused on developing dielectric layers with surface/porous structures or higher dielectric constants. However, such strategies have only been effective in improving sensitivities at low pressure ranges (e.g., up to 3 kPa). To overcome this well‐known obstacle, herein, a flexible hybrid‐response pressure sensor (HRPS) composed of an electrically conductive porous nanocomposite (PNC) laminated with an ultrathin dielectric layer is devised. Using a nickel foam template, the PNC is fabricated with carbon nanotubes (CNTs)‐doped Ecoflex to be 86% porous and electrically conductive. The PNC exhibits hybrid piezoresistive and piezocapacitive responses, resulting in significantly enhanced sensitivities (i.e., more than 400%) over wide pressure ranges, from 3.13 kPa−1 within 0–1 kPa to 0.43 kPa−1 within 30–50 kPa. The effect of the hybrid responses is differentiated from the effect of porosity or high dielectric constants by comparing the HRPS with its purely piezocapacitive counterparts. Fundamental understanding of the HRPS and the prediction of optimal CNT doping are achieved through simplified analytical models. The HRPS is able to measure pressures from as subtle as the temporal arterial pulse to as large as footsteps.
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Cites
Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers
Mannsfeld, S. C. B., Tee, B. C.-K., Stoltenberg, R. M., Chen, C. V. H.-H., Barman, S., Muir, B. V. O., Sokolov, A. N., Reese, C., & Bao, Z. (2010) · Nature Materials · doi:10.1038/nmat2834 · Cited by 3,291
An ultra-lightweight design for imperceptible plastic electronics
Kaltenbrunner, M., Sekitani, T., Reeder, J., Yokota, T., Kuribara, K., Tokuhara, T., Drack, M., Schwödiauer, R., Graz, I., Bauer-Gogonea, S., et al. (2013) · Nature · doi:10.1038/nature12314 · Cited by 2,485
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
A flexible and highly sensitive strain-gauge sensor using reversible interlocking of nanofibres
Pang, C., Lee, G.-Y., Kim, T.-I., Kim, S. M., Kim, H. N., Ahn, S.-H., & Suh, K.-Y. (2012) · Nature Materials · doi:10.1038/nmat3380 · Cited by 1,695
Advances of flexible pressure sensors toward artificial intelligence and health care applications
Zang, Y., Zhang, F., Di, C.-A., & Zhu, D. (2015) · Materials Horizons · doi:10.1039/c4mh00147h · Cited by 1,272
Nanomesh pressure sensor for monitoring finger manipulation without sensory interference
Lee, S., Franklin, S., Hassani, F. A., Yokota, T., Nayeem, M. O. G., Wang, Y., Leib, R., Cheng, G., Franklin, D. W., & Someya, T. (2020) · Science · doi:10.1126/science.abc9735 · Cited by 640
Park, S., Kim, H., Vosgueritchian, M., Cheon, S., Kim, H., Koo, J. H., Kim, T. R., Lee, S., Schwartz, G., Chang, H., et al. (2014) · Advanced Materials · doi:10.1002/adma.201402574 · Cited by 565
A neuro-inspired artificial peripheral nervous system for scalable electronic skins
Lee, W. W., Tan, Y. J., Yao, H., Li, S., See, H. H., Hon, M., Ng, K. A., Xiong, B., Ho, J. S., & Tee, B. C. K. (2019) · Science Robotics · doi:10.1126/scirobotics.aax2198 · Cited by 318
Wang, J., Jiu, J., Nogi, M., Sugahara, T., Nagao, S., Koga, H., He, P., & Suganuma, K. (2015) · Nanoscale · doi:10.1039/c4nr06494a · Cited by 293
Cited by
Yuan, H., Zhang, Q., Zhou, T., Wu, W., Li, H., Yin, Z., Ma, J., & Jiao, T. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.149926 · Cited by 180
Jang, H., Sel, K., Kim, E., Kim, S., Yang, X., Kang, S., Ha, K.-H., Wang, R., Rao, Y., Jafari, R., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34406-2 · Cited by 127
Self-citationLi, X., Liu, Y., Ding, Y., Zhang, M., Lin, Z., Hao, Y., Li, Y., & Chang, J. (2024) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c01042 · Cited by 79
Metadata
- Authors
- Ha, K., Zhang, W., Jang, H., Kang, S., Wang, L., Tan, P., Hwang, H., & Lu, N.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2021-09-27
- Volume
- 33
- Issue
- 48
- Pages
- e2103320-e2103320
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3202348803
- Cited by
- 354
- References
- 9
- FWCI
- 16.94
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Ha, K., Zhang, W., Jang, H., Kang, S., Wang, L., Tan, P., Hwang, H., & Lu, N. (2021). Highly Sensitive Capacitive Pressure Sensors over a Wide Pressure Range Enabled by the Hybrid Responses of a Highly Porous Nanocomposite. Advanced Materials. https://doi.org/10.1002/adma.202103320
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