王季宇
个人信息
Personal information
其他
性别：男
在职信息：在职
所在单位：强电磁技术全国重点实验室
学历：研究生(博士)毕业
学位：工学博士学位
毕业院校：重庆大学
学科：高电压与绝缘技术- [1] Wang J, Ding W, Pan L, et al. Self-powered wind sensor system for detecting wind speed and direction based on a triboelectric nanogenerator[J]. ACS Nano, 2018, 12(4): 3954-3963..
- [2] Wang J, Wu Z, Pan L, et al. Direct-Current Rotary-Tubular Triboelectric Nanogenerators Based on Liquid-Dielectrics Contact for Sustainable Energy Harvesting and Chemical Composition Analysis[J]. ACS Nano, 2019, 13(2): 2587-2598..
- [3] Wang J, Pan L, Guo H, et al. Rational Structure Optimized Hybrid Nanogenerator for Highly Efficient Water Wave Energy Harvesting[J] Advanced Energy Materials, 2019, 9(8): 1802892. .
- [4] Li J, Wang Z, Zhao Z, Wang J* et al. TriboGait: A deep learning enabled triboelectric gait sensor system for human activity recognition and individual identification[C]Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers. 2021: 643-648..
- [5] Wang H, Wang J*, Z. L. Wang* et al. Detrapping Current Measurement System Driven by Triboelectric Nanogenerators for Mapping Electron Trap States in Dielectrics[J] Advanced Functional Materials, 2021: 2103463. .
- [6] Yong S, Wang J*, Z. L. Wang* et al. Auto‐Switching Self‐Powered System for Efficient Broad‐Band Wind Energy Harvesting Based on Dual‐Rotation Shaft Triboelectric Nanogenerator[J]. Advanced Energy Materials, 2021: 2101194. .
- [7] Song Z, Yin J, Wang Z, Wang J*, Ding W* et al. A flexible triboelectric tactile sensor for simultaneous material and texture recognition[J]. Nano Energy, 2022, 93: 106798. .
- [8] Luo H, Wang H, Wang J*, et al. In Situ Nanofluid Dispersion Monitoring by Liquid–Solid Triboelectric Nanogenerator Based on Tuning the Structure of the Electric Double Layer[J]. Advanced Functional Materials, 2022: 2200862. .
- [9] Zhao H, Shu M, Ai Z, Wang J*, Ding W* et al. A Highly Sensitive Triboelectric Vibration Sensor for Machinery Condition Monitoring[J]. Advanced Energy Materials, 2022: 2201132. .
- [10] Wu H, Wang J*, Wu Z, et al. Multi-Parameter Optimized Triboelectric Nanogenerator Based Self-Powered Sensor Network for Broadband Aeolian Vibration Online-Monitoring of Transmission Lines[J]. Advanced Energy Materials, 2022, 12(13): 2103654. .