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 AccessAs an emerging power technology, triboelectric nanogenerator (TENGs) promote the development of self-powered portable electronic systems because they can harvest ambient mechanical energy with a variety of working modes. Nevertheless, the practical application of TENGs is still limited by their low output and poor mechanical durability, and it is still a challenge to fabricate fully sustainable TENGs with high performance. Herein, a spring-supported TENG based on multilayer stacked triboelectric electrodes is proposed, which has good mechanical stability and output performance because of the introduction of the stacked sponge buffer layer and the particle vibration layer. The as-obtained TENG shows remarkable output performance enhancement, and a peak open-circuit voltage of 1.85 kV and a maximal short circuit current of 90 μA are realized. The peak power reaches up to 26 mW, which can light up 475 LEDs. Additionally, the electric signals can also be utilized to monitor environmental stimuli, such as vibration and human movement; thus, a sustainable self-powered monitoring system may be developed. Furthermore, the device could also be used to develop smart homes on the basis of human–machine interaction, thus showing great potential for applications in the Internet of Things.
Xiaoyu Zhu, Jie Yang, Xia Cao, Ning Wang, Zhong Lin Wang (2023). Charge-Accumulation-Enhanced Triboelectric Nanogenerator with Multilayer Stacked Electrodes for Self-Powered Monitoring System. , 5(11), DOI: https://doi.org/10.1021/acsaelm.3c00864.
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
2023
Authors
5
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1021/acsaelm.3c00864
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access