Papers
2
Total Citations
14
H-Index
2
About
Liyang Pan is a leading researcher in the fields of nonvolatile memory and neuromorphic computing, with a focus on advancing energy-efficient, brain-inspired hardware. One of Pan’s major contributions is the development of an error-free 64KB ReRAM-based nonvolatile SRAM (nvSRAM), integrated directly into a microcontroller unit. This work, cited 9 times, enables real-time program storage and restoration, addressing critical challenges in fast parallel data transfer and power-on/off speed for embedded systems. In another highly innovative study, Pan designed a biomimetic nociceptor using a vertical multigate, multichannel neuromorphic transistor, achieving 5 citations. This device replicates the biological nociceptor’s ability to detect and respond to harmful stimuli, capturing essential pain-sensing functions that previous memristor and transistor designs could not fully emulate. Pan’s work bridges the gap between traditional memory architectures and neuromorphic systems, offering practical pathways for low-power, real-time computing. These achievements highlight Pan’s impact on next-generation electronics, where memory and sensing converge to create more adaptive, intelligent hardware for applications ranging from IoT to robotics.
Research Focus
Key Achievements
Top Papers
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