Jingyao Song
Papers
1
Total Citations
163
H-Index
1
About
Jingyao Song is a leading researcher in the field of flexible electronics and smart materials, with a primary focus on developing self-healing conductive composites for next-generation wearable sensors. Their most impactful work involves engineering supramolecular elastomers by modifying Ti₃C₂ MXene nanosheets with small biomolecules, creating materials that simultaneously achieve flexibility, stretchability, and autonomous self-healing—a longstanding challenge in the field. Song’s 2020 paper on MXene/PDMS supramolecular elastomers has garnered 163 citations, underscoring its influence on the development of electronic skin, human motion detection, and soft robotics. By integrating biomimetic self-repair mechanisms into conductive polymer networks, Song has enabled sensors that can recover mechanical and electrical performance after damage, significantly extending device lifespans. This work bridges materials chemistry and device engineering, offering a scalable pathway toward durable, skin-mountable electronics. Song’s contributions are particularly notable for addressing the trade-off between mechanical robustness and sensing sensitivity, positioning them as a key innovator in the emerging field of self-healing wearable technology.
Research Focus
Key Achievements
Top Papers
- 1