Wen-Jun Liu
Papers
1
Total Citations
26
H-Index
1
About
Wen-Jun Liu is a leading researcher in the field of neuromorphic computing and advanced electronic devices, with a primary focus on developing bio-inspired synaptic transistors for next-generation artificial intelligence. His most notable contribution is the design and demonstration of floating-gate photosensitive synaptic transistors, which integrate light-sensing and memory functions to mimic biological neural plasticity. This work, published in 2020 and garnering 26 citations, showcases his ability to engineer tunable synaptic behaviors—such as short-term and long-term plasticity—essential for efficient neuromorphic computing systems. Liu’s research bridges the gap between photonics and electronics, enabling low-power, high-speed data processing that could revolutionize AI hardware. His achievements highlight a deep understanding of material science and device physics, positioning him as a key innovator in the quest to replicate brain-like computation. For students and researchers, Liu’s work offers a compelling glimpse into how floating-gate architectures can unlock multifunctional, reconfigurable devices, paving the way for smarter, more adaptive technologies in the era of intelligent systems.
Research Focus
Key Achievements
Top Papers
- 1