Yukang Chen

Fudan University

Papers

1

Total Citations

10

H-Index

1

About

Yukang Chen is a pioneering researcher at the intersection of neuromorphic computing, advanced materials, and intelligent robotics. His work centers on developing novel electronic devices that emulate biological neural processes, with a particular focus on van der Waals ferroelectric materials for next-generation computing. Chen's most notable contribution is the development of a van der Waals ferroelectric memtransistor that implements reward-modulated spike-timing-dependent plasticity (STDP)—a biologically inspired learning rule. This breakthrough device, detailed in his 2025 paper, enables real-time robotic recognition and tracking, bridging the gap between artificial neural networks and physical hardware. With 10 citations already, this work is gaining rapid attention for its potential to revolutionize edge computing and autonomous systems. Chen's research is notable for its interdisciplinary approach, combining materials science, device physics, and robotics to create energy-efficient, adaptive systems. His achievements demonstrate a clear trajectory toward practical neuromorphic hardware, positioning him as an emerging leader in the field of bio-inspired computing.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Reward-modulated spike-timing-dependent plasticity in van der Waals ferroelectric memtransistor for robotic recognition and tracking
10 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago