Yuan‐Ming Chang
Papers
3
Total Citations
49
H-Index
3
About
Yuan-Ming Chang is a researcher whose work bridges the frontiers of two-dimensional (2D) materials and soft robotics. His primary research areas include defect engineering in layered semiconductors and the development of compliant electrodes for dielectric elastomer actuators (DEAs). Chang’s most significant contribution is in the field of neuromorphic computing, where his 2020 paper on “Defect Engineering in Ambipolar Layered Materials for Mode‑Regulable Nociceptor” has garnered 39 citations. This work demonstrates how controlled doping can convert conductive polarity in atomically thin materials, enabling the creation of artificial nociceptors—sensors that mimic biological pain responses—with tunable operating modes. In parallel, Chang has advanced soft robotics through his 2017 and 2016 studies on stretchable metallic springs as compliant electrodes for cylindrical DEAs. These electrodes allow DEAs to achieve large deformations while maintaining biocompatibility, making them ideal for applications in micro‑robots and artificial muscles. By combining expertise in 2D material defect engineering with innovative actuator design, Chang is paving the way for next‑generation bio‑inspired electronics and soft robotic systems.
Research Focus
Key Achievements
Top Papers
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