Dingzhou Cui

University of Southern California

Papers

1

Total Citations

10

H-Index

1

About

Dingzhou Cui is a rising leader in the field of neuromorphic computing and stretchable electronics, with a focus on developing next-generation hardware for artificial intelligence and soft robotics. His most-cited work introduces a groundbreaking approach to fabricating strain-insensitive, air-stable stretchable carbon nanotube-based synaptic transistor arrays via direct microfabrication. This innovation overcomes critical challenges in creating high-stability, high-yield device arrays on elastic substrates—a key bottleneck for mimicking brain-like activities in skin electronics and soft robotic systems. By enabling synaptic transistors that maintain performance under mechanical deformation and ambient conditions, Cui’s research bridges the gap between flexible electronics and neuromorphic computing, offering a scalable pathway toward intelligent, adaptive hardware. With 10 citations already for this 2025 paper, his work is rapidly gaining recognition for its practical impact. Cui’s contributions are particularly notable for addressing the dual demands of stretchability and air stability, positioning him as a promising innovator at the intersection of materials science, device engineering, and brain-inspired computing.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Strain-Insensitive, Air-Stable Stretchable Carbon Nanotube-Based Synaptic Transistors Array via Direct Microfabrication for Neuromorphic Computing
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Southern California

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago