Papers
4
Total Citations
109
H-Index
4
About
Chenjie Song is a leading researcher in the field of intelligent soft materials, specializing in liquid crystalline polymers (LCPs) and light- and humidity-driven actuators. Their work focuses on overcoming fundamental challenges in amplifying molecular-level motions into macroscopic, programmable actuation for applications in soft robotics and biomimetic devices. Song’s major contributions include pioneering shape-programmable, multimode actuators triggered by light-driven molecular motors, achieving complex motions with large amplitude (51 citations). They also developed reprogrammable humidity-driven LCP actuators using dynamic ionic bonds, enabling reversible shape changes (28 citations). Notably, Song advanced near-infrared light-driven liquid crystalline elastomers that simultaneously enhance actuation strain and stress (17 citations), and created a light- and humidity-driven soft robot with fluorescence changeability via a water-gated photoinduced electron transfer pathway (13 citations). Their work has garnered significant attention, with over 100 total citations, establishing Song as a key innovator in responsive materials. By integrating dynamic chemistry and multi-stimuli responsiveness, Song’s research paves the way for next-generation adaptive materials and autonomous soft robots.
Research Focus
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