Caiyang Ye

Papers

Total Citations

H-Index

About

Caiyang Ye is an emerging researcher specializing in neuromorphic computing, memristive devices, and biomimetic sensory systems. Their work focuses on developing next-generation artificial intelligence hardware that mimics biological neural processes, with particular emphasis on transparent memristor technologies and their applications in intelligent electronics. Ye's most notable contribution is the development of a transparent ITO/AlN/ITO memristor-based artificial mechano-nociceptive system, which replicates the behavior of biological pain receptors capable of transducing noxious stimuli — a breakthrough with profound implications for intelligent prosthetics, humanoid robotics, and electronic skin. This work has garnered 10 citations since its 2024 publication, reflecting rapid recognition within the field. Building on this foundation, Ye also introduced a transparent multifunctional memristor utilizing amorphous InAlZnO, capable of emulating both volatile and nonvolatile memory behaviors to replicate learning, memory formation, and cognitive processes — accumulating 5 citations shortly after its 2025 release. Ye's research sits at a compelling intersection of materials science, neuroscience-inspired computing, and advanced device engineering. For students and researchers exploring neuromorphic systems and artificial sensory intelligence, Ye's work represents a promising and rapidly evolving body of scholarship worth following closely.