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Cited by 308

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Natural Leaf Made Triboelectric Nanogenerator for Harvesting Environmental Mechanical Energy

Jie, Yang, Jia, Xueting, Zou, Jingdian, Chen, Yandong, Wang, Ning, Wang, Zhong Lin, Cao, Xia·2018·Advanced Energy Materials

Abstract

Distributed environmental mechanical energy is rarely collected due to its fluctuating amplitudes and low frequency, which is usually attributed as “random” energy. Considering the rapid development of the Internet of things (IoT), there is a great need for a large number of distributed and sustainable power sources. Here, a natural leaf assembled triboelectric nanogenerator (Leaf‐TENG) is designed by utilizing the green leaf as an electrification layer and electrode to effectively harvest environmental mechanical energy. The Leaf‐TENG with good adaptability has the maximum output power of ≈45 mW m−2, which is capable of driving advertising LEDs and commercial electronic temperature sensors. Besides, a tree‐shaped energy harvester is integrated with natural Leaf‐TENG to harvest large‐area environmental mechanical energy. This work provides a new prospect for distributed and environmental‐friendly power sources and has potential applications in the IoT and self‐powered systems.

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Metadata

Authors
Jie, Y., Jia, X., Zou, J., Chen, Y., Wang, N., Wang, Z. L., & Cao, X.
Venue
Advanced Energy Materials
Publisher
Wiley
Published
2018-01-26
Volume
8
Issue
12
ISSN
  • 1614-6832 (ISSN-L)
  • 1614-6840
OpenAlex
W2794281080
Cited by
308
References
40
FWCI
13.21
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Natural Leaf Made Triboelectric Nanogenerator for Harvesting Environmental Mechanical Energy. https://app.cochat.ai/papers/10.1002/aenm.201703133
The paper
Jie, Y., Jia, X., Zou, J., Chen, Y., Wang, N., Wang, Z. L., & Cao, X. (2018). Natural Leaf Made Triboelectric Nanogenerator for Harvesting Environmental Mechanical Energy. Advanced Energy Materials. https://doi.org/10.1002/aenm.201703133

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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