Artificial intelligence assisted nanogenerator applications
This review examines the integration of artificial intelligence with nanogenerators to develop self-powered, adaptive systems for applications in robotics, wearables, and environmental monitoring.
Authors
- Xiao Xiao (ORCID: https://orcid.org/0000-0002-7861-5596)
- Shumao Xu
- Jun Chen (ORCID: https://orcid.org/0000-0002-3439-0495)
- Farid Manshaii
Institutions
- University of California, Los Angeles (US)
Publication Details
- Journal
- Journal of Materials Chemistry A
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1039/d4ta07127a
- Citations
- 28
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 5.16
Funders
- National Science Foundation
- Brain and Behavior Research Foundation
- American Heart Association
- National Institutes of Health
- University of California, Los Angeles
- Office of Naval Research
- National Center for Advancing Translational Sciences
- Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles
- Clinical and Translational Science Institute, University of California, Los Angeles