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Keren Dai
Researcher at Tsinghua University
Publications - 40
Citations - 1028
Keren Dai is an academic researcher from Tsinghua University. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 10, co-authored 19 publications receiving 652 citations. Previous affiliations of Keren Dai include Nanjing University of Science and Technology.
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Journal ArticleDOI
A highly shape-adaptive, stretchable design based on conductive liquid for energy harvesting and self-powered biomechanical monitoring
Fang Yi,Xiaofeng Wang,Simiao Niu,Shengming Li,Yajiang Yin,Keren Dai,Guangjie Zhang,Long Lin,Zhen Wen,Hengyu Guo,Jie Wang,Min-Hsin Yeh,Yunlong Zi,Qingliang Liao,Zheng You,Yue Zhang,Zhong Lin Wang +16 more
TL;DR: This approach provides a new prospect for deformable and stretchable power sources, as well as self-powered sensors, and has potential applications in various areas such as robotics, biomechanics, physiology, kinesiology, and entertainment.
Journal ArticleDOI
Harvesting Ambient Vibration Energy over a Wide Frequency Range for Self-Powered Electronics
Xiaofeng Wang,Simiao Niu,Fang Yi,Fang Yi,Yajiang Yin,Chenglong Hao,Keren Dai,Yue Zhang,Zheng You,Zhong Lin Wang,Zhong Lin Wang +10 more
TL;DR: This work introduces an approach to scavenge vibrational energy over a wide frequency range as an exclusive power source for continuous operation of electronics in self-powered systems for environment monitoring, machine safety, and transportation.
Journal ArticleDOI
Bioinspired stretchable triboelectric nanogenerator as energy-harvesting skin for self-powered electronics
Xiaofeng Wang,Yajiang Yin,Fang Yi,Fang Yi,Keren Dai,Simiao Niu,Yingzhou Han,Yue Zhang,Zheng You +8 more
TL;DR: A bioinspired soft and stretchable triboelectric nanogenerator (TENG) is developed as energy-harvesting skin to drive personal electronics by scavenging biomechanical energy as mentioned in this paper.
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Self-powered gait pattern-based identity recognition by a soft and stretchable triboelectric band
TL;DR: A self-powered band that can recognize human identity through gait pattern which is achieved by detecting muscle activity is reported, which opens new frontiers for the development of self- powered electronics and inspires new thoughts in human-machine interface.
Journal ArticleDOI
Solar thermal-driven capacitance enhancement of supercapacitors
Fang Yi,Huaying Ren,Keren Dai,Xiaofeng Wang,Yingzhou Han,Kexin Wang,Ke Li,Baolu Guan,Jie Wang,Miao Tang,Jingyuan Shan,Hao Yang,Mingsheng Zheng,Zheng You,Di Wei,Zhongfan Liu +15 more
TL;DR: In this paper, the photothermal effect was exploited to enhance the capacitance, energy density and power density of supercapacitors under solar illumination, and new design options for the development of energy storage devices were proposed.