All-in-One Wearable Self-Powered Respiratory Sensor Enabled By Contact Electrification

2020 ◽  
Vol MA2020-01 (34) ◽  
pp. 2411-2411
Author(s):  
Yuanjie Su ◽  
Si Wang ◽  
Mingliang Yao ◽  
Guangzhong Xie ◽  
Huiling Tai ◽  
...  
Nano Letters ◽  
2014 ◽  
Vol 14 (6) ◽  
pp. 3208-3213 ◽  
Author(s):  
Guang Zhu ◽  
Wei Qing Yang ◽  
Tiejun Zhang ◽  
Qingshen Jing ◽  
Jun Chen ◽  
...  

2016 ◽  
Vol 653 ◽  
pp. 96-100 ◽  
Author(s):  
Yuanjie Su ◽  
Guangzhong Xie ◽  
Fabiao Xie ◽  
Tao Xie ◽  
Qiuping Zhang ◽  
...  

The Analyst ◽  
2021 ◽  
Author(s):  
Zhihua Ying ◽  
Yin Long ◽  
Fan Yang ◽  
Yutao Dong ◽  
Jun Li ◽  
...  

The liquid-solid contact electrification was used as a sensing mechanism to analyze liquid chemicals, which may eventually become a new molecule analytic principle.


2014 ◽  
Vol 25 (5) ◽  
pp. 739-747 ◽  
Author(s):  
Xiangyu Chen ◽  
Mitsumasa Iwamoto ◽  
Zhemin Shi ◽  
Limin Zhang ◽  
Zhong Lin Wang

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Jinran Yu ◽  
Guoyun Gao ◽  
Jinrong Huang ◽  
Xixi Yang ◽  
Jing Han ◽  
...  

AbstractLow power electronics endowed with artificial intelligence and biological afferent characters are beneficial to neuromorphic sensory network. Highly distributed synaptic sensory neurons are more readily driven by portable, distributed, and ubiquitous power sources. Here, we report a contact-electrification-activated artificial afferent at femtojoule energy. Upon the contact-electrification effect, the induced triboelectric signals activate the ion-gel-gated MoS2 postsynaptic transistor, endowing the artificial afferent with the adaptive capacity to carry out spatiotemporal recognition/sensation on external stimuli (e.g., displacements, pressures and touch patterns). The decay time of the synaptic device is in the range of sensory memory stage. The energy dissipation of the artificial afferents is significantly reduced to 11.9 fJ per spike. Furthermore, the artificial afferents are demonstrated to be capable of recognizing the spatiotemporal information of touch patterns. This work is of great significance for the construction of next-generation neuromorphic sensory network, self-powered biomimetic electronics and intelligent interactive equipment.


Nano Energy ◽  
2019 ◽  
Vol 57 ◽  
pp. 528-534 ◽  
Author(s):  
Linhong Han ◽  
Xuan Zhao ◽  
Mingyuan Ma ◽  
Fangfang Gao ◽  
Xiaochen Xun ◽  
...  

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