Papers

5

Total Citations

100

H-Index

4

About

Zhaozhong Li is pioneering the next generation of intelligent soft robotics through innovative light-driven liquid crystalline materials. His research centers on developing programmable actuators that bridge the gap between molecular-level responses and macroscopic motion. Li’s seminal 2023 work on shape-programmable liquid-crystalline polyurethane actuators, cited 51 times, introduced multimode actuation triggered by light-driven molecular motors—a breakthrough in amplifying molecular isomerization into complex, large-amplitude motions. He further advanced the field by engineering near-infrared light-driven liquid crystalline elastomers that simultaneously enhance actuation strain and stress, and by creating reconfigurable visible light-driven networks exhibiting off-equilibrium motions using mesogen-grafted donor–acceptor Stenhouse adducts. Notably, Li has integrated self-healing capabilities and shape-programmability into humidity-responsive liquid crystalline elastomers through dynamic covalent boronic ester bonds, while incorporating aggregation-induced emission luminogens for multifunctionality. His most recent work (2025) demonstrates visible light-driven soft actuators with multistage shape morphing, addressing key challenges in complex motion and adaptability. With over 100 cumulative citations across his highly cited papers, Li is establishing himself as a leading voice in smart materials, offering transformative solutions for biomimetic devices and intelligent soft robotics.

Research Focus

Key Achievements

4
H-Index
5
Papers
100
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Shape‐Programmable Liquid‐Crystalline Polyurethane‐Based Multimode Actuators Triggered by Light‐Driven Molecular Motors
51 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: University of Science and Technology Beijing, Beijing Advanced Sciences and Innovation Center

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago