Papers
3
Total Citations
34
H-Index
3
About
Chuanyu Fu is pioneering the frontier of neuromorphic engineering, where artificial systems learn to sense, think, and even feel. His research fuses flexible electronics, laser-induced graphene, and triboelectric nanogenerators to build the next generation of bio-inspired hardware. Fu’s most cited work introduces a multifunctional ultraviolet laser-induced graphene platform for flexible artificial sensory neurons (13 citations), demonstrating a low-cost, high-speed route to emulate human perception. He has also developed flexible neuromorphic transistors that mimic brain-like computation, breaking free from the limitations of conventional von Neumann architectures (11 citations). In a striking achievement, Fu engineered an artificial fear neural circuit—a system that recognizes threatening stimuli and triggers early warnings, much like a biological amygdala (10 citations). This work, combining noise-powered triboelectric nanogenerators with photoelectronic neuromorphic transistors, pushes toward emotionally intelligent robots and adaptive human-machine interfaces. With each publication, Fu is not just building components; he is constructing the neural foundations for machines that can perceive, learn, and react to the world around them.
Research Focus
Key Achievements
Top Papers
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