Fenglong Li
Papers
2
Total Citations
118
H-Index
2
About
Fenglong Li is pioneering the next generation of intelligent soft materials for underwater and tactile sensing applications. His research focuses on the design of advanced self-healing elastomers and biomimetic electronic skins (E-skins) that operate reliably in challenging environments. Li’s major contribution includes the development of an ultrafast underwater self-healing piezo-ionic elastomer, achieved through dynamic hydrophobic-hydrolytic domains—a breakthrough that enables autonomous repair and mechanical sensing in aquatic settings, with direct implications for underwater robotics and human-machine interfaces. This work has already garnered 83 citations since 2024, highlighting its rapid impact. Additionally, Li engineered a fully-printed bionic tactile E-skin that leverages a coupling enhancement effect, allowing the device to recognize objects with the aid of machine learning (35 citations). This innovation mimics the synergistic interplay of biological systems, pushing the boundaries of tactile perception. By merging materials chemistry with machine learning, Li is creating intelligent, durable interfaces that can sense, heal, and adapt—paving the way for resilient soft electronics and next-generation prosthetics.
Research Focus
Key Achievements
Top Papers
- 1
- 2