Flexible and durable wood-based triboelectric nanogenerators for self-powered sensing in athletic big data analytics
Chinese Academy of Sciences · Beijing Institute of Nanoenergy and Nanosystems · +3 more institutions
Abstract
In the new era of internet of things, big data collection and analysis based on widely distributed intelligent sensing technology is particularly important. Here, we report a flexible and durable wood-based triboelectric nanogenerator for self-powered sensing in athletic big data analytics. Based on a simple and effective strategy, natural wood can be converted into a high-performance triboelectric material with excellent mechanical properties, such as 7.5-fold enhancement in strength, superior flexibility, wear resistance and processability. The electrical output performance is also enhanced by more than 70% compared with natural wood. A self-powered falling point distribution statistical system and an edge…
Citation impact
- FWCI
- 24.01
- Percentile
- 100%
- References
- 40
Authors
11- JLJianjun Luo
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- ZWZiming Wang
Georgia Institute of Technology, Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- LXLiang Xu
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
- ACAurelia Chi Wang
Georgia Institute of Technology
- KHKai Han
Chinese Academy of Sciences, Beijing Institute of Nanoenergy and Nanosystems, University of Chinese Academy of Sciences
Topics & keywords
- Triboelectric effect
- Big data
- Analytics
- Computer science
- Flexibility (engineering)
- Nanogenerator
- Internet of Things
- Nanotechnology
- Industry, innovation and infrastructure
Funding
- NNNational Natural Science Foundation of ChinaAwards: 51605033, 51432005, 51702018, 5151101243, 2016YFA0202704
- CAChinese Academy of SciencesAward: 51432005
- CPChina Postdoctoral Science FoundationAward: BX20190324
- BMBeijing Municipal Science and Technology CommissionAwards: Z171100002017017, Y3993113DF
- UOUniversity of Chinese Academy of Sciences