Roadmap on nanogenerators and piezotronics

Philippe Basset, Stephen Paul Beeby, Chris Bowen, Zheng Jun Chew, Ahmad Delbani, R. D. Ishara G. Dharmasena, Bhaskar Dudem, Feng Ru Fan, Dimitri Galayko, Hengyu Guo, Jianhua Hao, Yuchen Hou, Chenguo Hu, Qingshen Jing (Lead / Corresponding author), Young Hoon Jung, Sumanta Kumar Karan, Sohini Kar-Narayan (Lead / Corresponding author), Miso Kim, Sang-Woo Kim, Yang KuangKeon Jae Lee, Jialu Li, Zhaoling Li, Yin Long, Shashank Priya, Xianjie Pu, Tingwen Ruan, S. Ravi P. Silva, Hee Seung Wang, Kai Wang, Xudong Wang, Zhong Lin Wang, Wenzhuo Wu, Wei Xu, Hemin Zhang, Yan Zhang, Meiling Zhu

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29 Citations (Scopus)
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Triboelectric nanogenerators (TENGs) are one of the most promising energy harvesting methods available for next-generation wearables, autonomous devices and sensors, and the Internet-of things (IoT), which can efficiently convert ambient mechanical energy into useful electricity. It can be implemented in clothing, shoes, walkways, and moving parts in automobiles, harvest suitable energy to drive many types of portable/wearable/implantable electronics that at present, and are predominantly powered by batteries. In order to move the current state-of-the-art in practical devices to realistic technologies, much development is still needed. These requirements we envisage will be accelerated with the help of theoretical models and simulations, which can be verified and refined using an empirical route to best fit experimental data. This will give rise to self-validated models that allow for predictive design of TENG devices for specific applications using computer-aided design (CAD) and simulators.
Original languageEnglish
Article number109201
Number of pages60
JournalAPL Materials
Issue number10
Publication statusPublished - 31 Oct 2022


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