Yuhan Wen

University of California, Berkeley

Papers

1

Total Citations

8

H-Index

1

About

Yuhan Wen is a rising researcher in the field of soft robotics and flexible electronics, with a focus on origami-inspired mechanical metamaterials. Her most-cited work, "Origami-patterned capacitor with programmed strain sensitivity" (2022, 8 citations), pioneers the integration of Miura-ori folding patterns into capacitive strain sensors. By modeling and characterizing the coupled mechanical and electrical properties of these origami-patterned capacitors, Wen demonstrates how geometric design can program sensor sensitivity—enabling tunable, stretchable, and deployable sensing systems. This contribution bridges origami engineering with soft robotics, offering a new paradigm for creating strain sensors that are both mechanically robust and electrically responsive. Wen’s research has immediate implications for wearable devices, soft grippers, and deployable structures, where precise strain monitoring is critical. Though early in her career, her work has already attracted attention for its elegant fusion of mathematical folding principles with practical device fabrication. As a researcher at the intersection of mechanics, materials, and robotics, Yuhan Wen is establishing herself as an innovator in programmable soft matter.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Origami-patterned capacitor with programmed strain sensitivity
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago