Mingxing Liu
Papers
1
Total Citations
7
H-Index
1
About
Mingxing Liu is a pioneering researcher at the forefront of neuromorphic photonics and advanced materials for in-sensor computing. His work centers on developing novel perovskite-based platforms that integrate sensing, memory, and processing functions, aiming to overcome the von Neumann bottleneck in artificial intelligence hardware. Liu’s most notable contribution is the introduction of sodium-enhanced perovskite reservoirs, a breakthrough that enables efficient photonic in-sensor computing. This innovation leverages ionic doping to modulate the material’s optoelectronic properties, achieving high-performance, low-power data processing directly at the sensor level. His 2025 paper on this topic has already garnered 7 citations, signaling growing recognition in the field. Liu’s research bridges materials science and computing architecture, offering a pathway toward ultrafast, energy-efficient neural networks. His work is particularly impactful for edge computing and real-time AI applications, where traditional electronic systems face speed and power limitations. By demonstrating how perovskite engineering can unlock new computational paradigms, Liu is shaping the future of intelligent photonic systems.
Research Focus
Key Achievements
Top Papers
- 1Sodium-enhanced perovskite reservoir for photonic in-sensor computing7 citations · 2025