Papers
3
Total Citations
38
H-Index
2
About
Sai Li is a rising researcher at the forefront of soft robotics and advanced functional materials, whose work bridges experimental synthesis with all-atom molecular dynamics simulations. Li’s primary research areas include self-healable elastomers, liquid metal composites, and bionic soft sensors. In a landmark 2023 study (24 citations), Li demonstrated a synergistic effect between MXene and MWCNT to create a self-healable elastomer sensor with an exceptionally low percolation threshold, combining cutting-edge experiments with molecular-level simulations. Another highly cited contribution (12 citations) introduced a super-tough, super-elastic, temperature-responsive elastomer by embedding nanosized liquid metal droplets, enabling tunable viscoelasticity for next-generation soft actuators. Li also advanced human-robot interaction by developing a soft bionic finger with visual recognition capabilities, addressing key challenges in soft robot adaptability and safety. With a growing citation impact and a focus on multifunctional, stimuli-responsive materials, Sai Li is establishing a reputation for integrating computational design with practical soft robotic systems—work that holds promise for wearable electronics, biomedical devices, and intelligent tactile interfaces.
Research Focus
Key Achievements
Top Papers
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- 2
- 3Information Express of Soft Bionic Finger Based on Visual Recognition2 citations · 2023