Lingkai Li
Papers
1
Total Citations
26
H-Index
1
About
Lingkai Li is a leading researcher in neuromorphic computing and advanced electronic materials, with a focus on developing bio-inspired devices that emulate synaptic functions. His most-cited work, "Floating-gate photosensitive synaptic transistors with tunable functions for neuromorphic computing" (2020, 26 citations), introduces a novel transistor design that integrates floating-gate and photosensitive capabilities, enabling tunable synaptic plasticity for artificial neural networks. This contribution addresses key challenges in energy-efficient, brain-like computation by combining optical and electrical modulation in a single device. Li’s research bridges materials science and device engineering, offering scalable solutions for next-generation computing hardware. His work has been recognized for its potential to revolutionize data processing in AI and robotics, with the cited paper serving as a foundational reference in the field. Through innovative device architectures, Li continues to push the boundaries of neuromorphic systems, making him a notable figure in the pursuit of intelligent, low-power electronics.
Research Focus
Key Achievements
Top Papers
- 1