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Jianxiong Zhu

Researcher at National University of Singapore

Publications -  47
Citations -  1754

Jianxiong Zhu is an academic researcher from National University of Singapore. The author has contributed to research in topics: Triboelectric effect & Capacitive sensing. The author has an hindex of 16, co-authored 41 publications receiving 732 citations. Previous affiliations of Jianxiong Zhu include KAIST & Chinese Academy of Sciences.

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Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things

Abstract: Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore Center for Intelligent Sensors and MEMS, National University of Singapore, Singapore, 117608, Singapore Hybrid-Integrated Flexible (Stretchable) Electronic Systems Program, National University of Singapore, Singapore, 117608, Singapore NUS Suzhou Research Institute (NUSRI), Suzhou, 215123, China NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, 117456, Singapore
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Development Trends and Perspectives of Future Sensors and MEMS/NEMS.

TL;DR: The issues about the big data and human-machine realization for human beings’ manipulation, artificial intelligence (AI) and virtual reality (VR) technologies were finally realized using sensor nodes and its wave identification as future trends for various scenarios.
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Flexible, Stretchable, and Transparent Planar Microsupercapacitors Based on 3D Porous Laser-Induced Graphene.

TL;DR: The graphene with 3D porous network structure is directly laser-induced on polyimide sheets at room temperature in ambient environment by an inexpensive and one-step method, then transferred to silicon rubber substrate to obtain highly stretchable, transparent, and flexible electrode of the all-solid-state planar microsupercapacitors.
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Deep learning-enabled triboelectric smart socks for IoT-based gait analysis and VR applications

TL;DR: Low-cost triboelectric intelligent socks are developed for harvesting waste energy from low-frequency body motions to transmit wireless sensory data and map the physical signals collected through the socks in the virtual space to establish a digital human system for sports monitoring, healthcare, identification, and future smart home applications.
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Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem

TL;DR: In this article, the progress of TENG technology, in terms of energy-boosting, emerging materials, self-powered sensors, and its further integration with other potential technologies is systematically reported.