Minghui Cao
Papers
2
Total Citations
51
H-Index
2
About
Minghui Cao is a rising leader in the field of neuromorphic computing and flexible bioelectronics, with a focus on developing next-generation artificial sensory systems. Their primary research centers on metal-organic framework (MOF) nanosheet-based memristors, particularly using Zn-TCPP and Co-TCPP materials, to create ultralow-power biomimetic devices that emulate biological learning, memory, and cognitive behaviors. Cao’s most impactful work, a 2024 study on flexible Zn-TCPP nanosheet memristors (45 citations), demonstrated a breakthrough in high-precision gesture recognition, paving the way for energy-efficient, wearable AI systems. This achievement was followed by a 2025 study on Co-TCPP-based memristors for neuromorphic computing and simulating human water turnover at varying temperatures (6 citations), showcasing the versatility of their approach in both computing and physiological modeling. By integrating flexible substrates with MOF nanomaterials, Cao is advancing the frontier of biomimetic sensing, offering transformative potential for prosthetics, human-machine interfaces, and low-power edge computing. Their work is particularly notable for achieving ultralow power consumption while maintaining high accuracy, a critical step toward sustainable artificial intelligence.
Research Focus
Key Achievements
Top Papers
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