0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessAbstract Energy harvesting and power delivery are key technologies for self‐powered systems toward the internet of things, and integration of the two should be prioritized. The dominant mechanism of a triboelectric nanogenerator (TENG) is Maxwell's displacement current, which exists both inside the media/device and in the space surrounding the device. The displacement current transmitted in media inside the device can be collected by wired transmission using two electrodes, while the component that is leaked in to the space surrounding the device can be partially collected wirelessly. Herein, simultaneous collection of power transmitted through wires and wirelessly by a rotating TENG, is demonstrated. The wired component gives an output of ≈2 mA and ≈110 V, and the wireless component using the finite size of the collector gives an output current and voltage of ≈3 µA and ≈17.5 V (power density of 21.8 mW m −2 ). Small mobile electronics and a digital camera can be charged. The study extends the application of TENGs for practical applications.
Jie Yang, Jinming Ma, Yandong Chen, Xia Cao, Ning Wang, Zhong Lin Wang (2018). Efficient Delivery of Power Generated by a Rotating Triboelectric Nanogenerator by Conjunction of Wired and Wireless Transmissions Using Maxwell's Displacement Currents. , 8(31), DOI: https://doi.org/10.1002/aenm.201802084.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2018
Authors
6
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1002/aenm.201802084
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access