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- Title
Highly Oxidation‐Resistant and Self‐Healable MXene‐Based Hydrogels for Wearable Strain Sensor (Adv. Funct. Mater. 24/2023).
- Authors
Chae, Ari; Murali, G.; Lee, Seul‐Yi; Gwak, Jeonghwan; Kim, Seon Joon; Jeong, Yong Jin; Kang, Hansol; Park, Seongmin; Lee, Albert S.; Koh, Dong‐Yeun; In, Insik; Park, Soo‐Jin
- Abstract
Deep learning, hydrogels, MXenes, oxidation, poly(vinyl alcohol), sensors Sufficient interaction of hydrophobic catechol groups with the MXene surface reduces the oxidation-accessible sites in the MXene for reaction with water and eventually suppresses the oxidation of MXene in the hydrogel. Keywords: deep learning; hydrogels; MXenes; oxidation; poly(vinyl alcohol); sensors EN deep learning hydrogels MXenes oxidation poly(vinyl alcohol) sensors 1 1 1 06/14/23 20230612 NES 230612 B Hydrogels b In article number 2213382, Soo-Jin Park, Insik In, Dong-Yeun Koh, Albert S. Lee, and co-workers propose, catechol-functionalized poly(vinyl alcohol)-based hydrogel to inhibit the oxidation of MXene nanofiller while maintaining excellent mechanical and electrical properties suitable for strain sensors.
- Subjects
STRAIN sensors; WEARABLE technology; DEEP learning
- Publication
Advanced Functional Materials, 2023, Vol 33, Issue 24, p1
- ISSN
1616-301X
- Publication type
Article
- DOI
10.1002/adfm.202370144