Six‐Output Ultra‐Robust Flexible Piezoresistive Sensor Based on Electrode Matrix
Source abstract
Abstract
Abstract Flexible piezoresistive sensors have been widely studied due to their high sensitivity, good wearability and low cost, but the mechanical robustness issue has always hindered their practical application. Here a general electrode strategy is introduced for enhancing the robustness of flexible piezoresistive sensors. By constructing an electrode matrix, the surface resistance and bulk resistance of the sensor are flexibly combined in different ways, thereby obtaining six output signals in one sensing unit. This electrode matrix is used to combine with a hierarchical porous conductive structure to obtain an ultra‐robust flexible piezoresistive sensor. The ultra‐robust sensor has a sensitivity of 28.07 kPa−1 in surface mode, 23.38 kPa−1 in ipsilateral bulk mode, and 27.78 kPa−1 in crossed bulk mode. Benefiting from its one‐input‐six‐output characteristic, this sensor exhibits multi‐signal redundant output in health monitoring and robot gripping detection, demonstrating its high robustness in practical applications. Combined with a deep learning algorithm, this ultra‐robust sensor can reversely identify the electrode channel corresponding to the current response, demonstrating its broad prospects in intelligent self‐detection devices. This general electrode strategy revolutionizes the robustness of flexible pressure sensors and is expected to bring a paradigm shift in the design of wearable electronics.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Gas Sensing Nanomaterials and Sensors · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Power and Mechanical Engineering Wuhan University Wuhan Hubei 430072 China
Funding
National Natural Science Foundation of China
References (40)
Show source-provided references
1. 10.1002/adfm.20240572210.1002/adfm.202405722 ↗
2. 10.1016/j.pmatsci.2024.10142210.1016/j.pmatsci.2024.101422 ↗
3. 10.1002/adma.20231276110.1002/adma.202312761 ↗
4. 10.1007/s40820-022-00874-w10.1007/s40820-022-00874-w ↗
5. 10.1038/s41467-023-38274-210.1038/s41467-023-38274-2 ↗
6. 10.1016/j.cej.2024.15299610.1016/j.cej.2024.152996 ↗
7. 10.1016/j.compscitech.2023.11029010.1016/j.compscitech.2023.110290 ↗
8. 10.1038/s41586-022-05579-z10.1038/s41586-022-05579-z ↗
9. 10.1016/j.nanoen.2024.11004110.1016/j.nanoen.2024.110041 ↗
10. 10.1002/adfm.20240676210.1002/adfm.202406762 ↗
11. 10.1038/s41467-022-29093-y10.1038/s41467-022-29093-y ↗
12. 10.1109/LRA.2021.306139910.1109/LRA.2021.3061399 ↗
13. 10.1109/ACCESS.2023.327030610.1109/ACCESS.2023.3270306 ↗
14. Zhang M. · IEEE Trans. Instrum. Meas. · 2021 · 70 · 1
15. 10.1002/smll.20230665510.1002/smll.202306655 ↗
16. 10.1016/j.cej.2024.15625210.1016/j.cej.2024.156252 ↗
17. 10.1021/acsami.3c1584410.1021/acsami.3c15844 ↗
18. 10.1039/D4TA03758H10.1039/D4TA03758H ↗
19. 10.1021/acssensors.3c0200110.1021/acssensors.3c02001 ↗
20. 10.1016/j.cej.2024.15314010.1016/j.cej.2024.153140 ↗
21. 10.1039/D2NR06084A10.1039/D2NR06084A ↗
22. 10.1016/j.compscitech.2023.11015710.1016/j.compscitech.2023.110157 ↗
23. 10.1038/s41467-024-47408-z10.1038/s41467-024-47408-z ↗
24. 10.1002/adma.20240623510.1002/adma.202406235 ↗
25. 10.1002/adfm.20241446510.1002/adfm.202414465 ↗
26. 10.1007/s12274-023-6276-810.1007/s12274-023-6276-8 ↗
27. 10.1002/adma.20210431310.1002/adma.202104313 ↗
28. 10.1002/adma.20210935710.1002/adma.202109357 ↗
29. 10.1021/acsami.2c1787910.1021/acsami.2c17879 ↗
30. 10.1021/acsami.2c1946510.1021/acsami.2c19465 ↗
31. 10.1021/acsnano.0c0365910.1021/acsnano.0c03659 ↗
32. 10.1002/inf2.1232810.1002/inf2.12328 ↗
33. 10.1039/D3TC01851B10.1039/D3TC01851B ↗
34. 10.1016/j.cej.2022.14030210.1016/j.cej.2022.140302 ↗
35. 10.1016/j.apsusc.2023.15802110.1016/j.apsusc.2023.158021 ↗
36. 10.1109/JSEN.2021.313116410.1109/JSEN.2021.3131164 ↗
37. 10.1016/j.apsusc.2023.15632810.1016/j.apsusc.2023.156328 ↗
38. 10.1021/acsnano.8b0180510.1021/acsnano.8b01805 ↗
39. 10.1016/j.nanoen.2022.10801810.1016/j.nanoen.2022.108018 ↗
40. 10.1007/s11227-021-04265-710.1007/s11227-021-04265-7 ↗