Papers
2
Total Citations
10
H-Index
2
About
Kun Ye is a rising researcher in the field of neuromorphic computing and two-dimensional (2D) materials, with a focus on developing energy-efficient artificial synapses for next-generation intelligent systems. Their work centers on emulating biological neural functions—particularly emotional and sensory processing—using novel 2D material-based transistors. In their highly cited 2025 paper on CrPS₄-floating-gate transistors, Ye demonstrated ultralow power artificial synapses capable of simulating human emotions, a critical step toward integrating affective computing into intelligent robotics. This work has already garnered 6 citations, signaling its early impact. Another notable contribution involves anisotropic optoelectronic synapses based on 2D Nb₂GeTe₄, which enable direction-programmable neuromorphic perception and decision-making. This research addresses the von Neumann bottleneck by combining simple device architectures with multifunctional synaptic operations, achieving 4 citations shortly after publication. Ye’s innovative approach to merging materials science with neuroscience-inspired computing positions them as a promising contributor to the development of energy-efficient, emotionally aware AI hardware.
Research Focus
Key Achievements
Top Papers
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