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Total Citations
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About
Jizhou Zhang is pioneering the development of next-generation neuromorphic vision systems through innovative ferroelectric-gated reconfigurable electronics. His most influential work, "Asymmetric Ferroelectric Gated Reconfigurable WSe₂ p–n Homojunction for In‐Sensor Neuromorphic Vision Processing" (2025, 7 citations), addresses a critical bottleneck in artificial vision: the inability of conventional p–n junctions to dynamically reconfigure their optoelectronic responses. By integrating asymmetric ferroelectric gating with a WSe₂ homojunction, Zhang has demonstrated a compact, energy-efficient platform that performs in-sensor neuromorphic processing—combining sensing and computation within a single device. This breakthrough eliminates the need for complex external circuitry, paving the way for real-time, low-power artificial vision systems. Zhang’s work stands at the intersection of 2D materials, ferroelectric physics, and neuromorphic engineering, offering a scalable path toward intelligent, bio-inspired visual sensors. His contributions are particularly impactful for researchers exploring in-memory computing and edge intelligence, where energy efficiency and real-time processing are paramount. With this foundational paper already garnering early citations, Zhang is establishing himself as a rising leader in the field of reconfigurable optoelectronics for next-generation AI hardware.
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