Papers
2
Total Citations
22
H-Index
2
About
Nianzi Sui is pioneering the frontier of neuromorphic engineering, with a focused expertise in carbon nanotube-based flexible electronics for artificial intelligence. Her research centers on developing bio-inspired synaptic devices that mimic the human brain’s sensory processing, particularly for vision and olfaction. In a landmark 2024 study, Sui fabricated carbon nanotube neuromorphic thin-film transistor arrays that achieve olfactory-visual multisensory synergy recognition, enabling a flexible platform that integrates smell and sight—a crucial step toward human-computer interaction and AI. This work has already garnered 12 citations for its innovative approach. Expanding into optoelectronics, her 2025 paper introduced ultralow-power, highly selective near-infrared (≈850 nm) flexible synaptic transistors for real-time trajectory tracking, achieving a breakthrough in energy-efficient optical computing and night monitoring. With 10 citations, this work demonstrates remarkable selectivity and ultralow power consumption, positioning her as a leader in flexible neuromorphic systems. Sui’s contributions are not only advancing fundamental understanding of synaptic plasticity in carbon nanomaterials but also paving the way for practical applications in robotics, smart sensing, and next-generation AI hardware.
Research Focus
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Top Papers
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