About

Daining Fang is a pioneering researcher at the intersection of advanced manufacturing, mechanical metamaterials, and smart materials engineering. His work has fundamentally shaped our understanding of how engineered structures can adapt, transform, and respond to environmental stimuli, with far-reaching implications for soft robotics, biomedical devices, and flexible electronics. Fang's most celebrated contributions center on 4D printing and origami-inspired metamaterials, exploring how printed structures can evolve over time in response to moisture, heat, or mechanical loading. His 2018 paper on soft mechanical metamaterials with unusual swelling behavior (234 citations) challenged conventional assumptions about hydrogel expansion, while his hydrophilic/hydrophobic composite shape-shifting work (149 citations) introduced elegant solutions to longstanding fabrication limitations. His quartet of 2020 studies—spanning 4D printed origami metamaterials, multi-stable structures, tristable square-twist origami, and flexible battery electrodes—collectively demonstrate remarkable breadth and sustained productivity. Perhaps most strikingly, his 2022 research on submillimeter-scale multimaterial terrestrial robots (136 citations) pushes these principles toward transformative applications in minimally invasive surgery and cellular manipulation. Across more than 1,400 cumulative citations in this selection alone, Fang has established himself as a defining voice in reconfigurable and programmable materials research.

Research Focus

Key Achievements

14
H-Index
24
Papers
1,702
Total Citations
71
Avg Citations/Paper
🏆 Most Cited Paper
Soft mechanical metamaterials with unusual swelling behavior and tunable stress-strain curves
234 citations · 2018
📈 Most Prolific Year: 2020 (7 Papers)
🤝 Key Collaborators: 88
🏛 Institutions: Beijing Institute of Technology, Peking University, State Key Laboratory of Turbulence and Complex Systems, Shanghai University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago