Progress in TENG technology—A journey from energy harvesting to nanoenergy and nanosystem

By Jianxiong Zhu, Minglu Zhu, Qiongfeng Shi, Feng Wen, Long Liu, Bowei Dong, A. Haroun, Yanqin Yang, Philippe Vachon, Xinge Guo and 2 more. 2020

297 citations recorded by the source corpus.

Funding information A*STAR-NCBR, Grant/Award Number: R263-000-C91-305; HIFES Seed Funding, Grant/Award Number: R263-501-012-133; National Key Research and Development Program of China, Grant/Award Numbers: 2019YFB2004800, R-2020-S-002; RIE Advanced Manufacturing and Engineering (AME) programmatic grant, Grant/Award Number: A18A4b0055 Abstract Triboelectric nanogenerator (TENG) technology is a promising research field for energy harvesting and nanoenergy and nanosystem (NENS) in the aspect of mechanical, electrical, optical, acoustic, fluidic, and so on. This review systematically reports the progress of TENG technology, in terms of energy-boosting, emerging materials, self-powered sensors, NENS, and its further integration with other potential technologies. Starting from TENG mechanisms including the ways of charge generation and energy-boosting, we introduce the applications from energy harvesters to various kinds of self-powered sensors, that is, physical sensors, chemical/gas sensors. After that, further applications in NENS are discussed, such as blue energy, human-machine interfaces (HMIs), neural interfaces/implanted devices, and optical interface/wearable photonics. Moving to new research directions beyond TENG, we depict hybrid energy harvesting technologies, dielectric-elastomer-enhancement, self-healing, shape-adaptive capability, and self-sustained NENS and/or internet of things (IoT). Finally, the outlooks and conclusions about future development trends of TENG technologies are discussed toward multifunctional and intelligent systems.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/d225d8e1db1e275a9713d864891b47c6a70c51d9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Xinge Guo
2. Long Liu
3. Chengkuo Lee

In Cognitive Neuroscience

1. Xinge Guo
2. Long Liu
3. Chengkuo Lee

In Polymers and Plastics

1. Long Liu
2. Xinge Guo
3. Chengkuo Lee

Citations in the corpus

• Promoting smart cities into the 5G era with multi-field Internet of Things (IoT) applications powered with advanced mechanical energy harvesters (2021, methodology): “As shown in Table 3, available technologies for energy harvesting reviewed here are listed as triboelectric, electrostatic, piezoelectric, electromagnetic induction, magnetostriction, photovoltaic, thermoelectric, pyroelectric, and radio frequency energy harvesting [32,37,56,68 – 70].”