Zengji Yue

University of Shanghai for Science and Technology

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Total Citations

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About

Dr. Zengji Yue is a leading researcher at the forefront of neuromorphic computing and advanced functional materials. His work centers on developing artificial synapses and memristive devices that mimic the brain’s neural architecture, aiming to revolutionize low-energy artificial intelligence and robotics. A standout contribution is his 2024 paper, "Multimodal Artificial Synapses for Neuromorphic Application," which has already garnered 35 citations, highlighting its immediate impact. This work demonstrates how artificial synapses can perform parallel in-memory computing while transmitting signals, paving the way for energy-efficient AI systems. Dr. Yue’s research bridges fundamental materials science with practical applications, particularly in robotics—the ideal endpoint for neuromorphic hardware. His achievements include pioneering multimodal synaptic devices that integrate sensing, memory, and processing, offering a path beyond traditional von Neumann architectures. With a growing citation record and a focus on next-generation computing, Dr. Yue is shaping the future of intelligent, brain-inspired technologies.