Papers
11
Total Citations
1,174
H-Index
11
About
Binjie Jin is a pioneering materials scientist and soft robotics researcher whose work sits at the dynamic intersection of smart polymers, dynamic covalent networks, and autonomous robotic systems. His research has fundamentally advanced the design of stimuli-responsive materials, with particular expertise in shape memory polymers, liquid crystal elastomers (LCEs), and dielectric elastomers. Jin's landmark 2018 paper on crystalline shape memory polymer networks — leveraging both thermo- and photo-reversible bonds to realize a single-component soft robot — has garnered nearly 500 citations, underscoring its transformative influence on the field. His subsequent investigations into light-regulated topological defects in dynamic covalent networks demonstrated that material properties once considered fixed could be made programmable on demand, each accumulating over 130 citations. More recently, Jin has pushed boundaries further with high-speed underwater hydrogel robots, multimodal autonomous LCE locomotion systems, and reprogrammable dielectric elastomers capable of complex, designable motion under low electric fields. Collectively, his body of work — exceeding 1,100 citations across just ten papers — represents a coherent and ambitious vision: creating intelligent, multifunctional soft machines that blur the line between material and mechanism.
Research Focus
Key Achievements
Top Papers
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- 5Multimodal Autonomous Locomotion of Liquid Crystal Elastomer Soft Robot90 citations · 2024
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- 8Dielectric Polymer with Designable Large Motion under Low Electric Field37 citations · 2022
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