Mingyuan Pei
Papers
1
Total Citations
187
H-Index
1
About
Mingyuan Pei is a leading researcher in neuromorphic electronics, focusing on the development of bio-inspired devices that emulate neural functions for next-generation computing and neuro-prosthetics. Their most-cited work, a 2019 study on versatile neuromorphic electronics, demonstrates how modulating synaptic decay in a single organic synaptic transistor can enable both artificial neural networks and neuro-prosthetic applications. This seminal paper, with 187 citations, showcases Pei's ability to bridge fundamental materials science with practical device engineering, offering a simplified yet powerful approach to mimicking biological synapses. By achieving precise control over synaptic plasticity—a key feature for learning and memory—Pei's research has advanced the design of energy-efficient, adaptive electronic systems. Their contributions are particularly notable for unifying two traditionally separate fields: artificial intelligence hardware and biomedical implants. This work has inspired further exploration into organic transistors for low-power computing and neural interfaces, positioning Pei as a key innovator in the rapidly evolving landscape of neuromorphic engineering.
Research Focus
Key Achievements
Top Papers
- 1