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Optoelectronic memristors (OMs) have emerged as a promising optoelectronic Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic devices and optoelectronic systems. These OMs possess a range of desirable features including minimal crosstalk, high bandwidth, low power consumption, zero latency, and the ability to replicate crucial neurological functions such as vision and optical memory. By incorporating large-scale parallel synaptic structures, OMs are anticipated to greatly enhance high-performance and low-power in-memory computing, effectively overcoming the limitations of the von Neumann bottleneck. However, progress in this field necessitates a comprehensive understanding of suitable structures and techniques for integrating low-dimensional materials into optoelectronic integrated circuit platforms. This review aims to offer a comprehensive overview of the fundamental performance, mechanisms, design of structures, applications, and integration roadmap of optoelectronic synaptic memristors. By establishing connections between materials, multilayer optoelectronic memristor units, and monolithic optoelectronic integrated circuits, this review seeks to provide insights into emerging technologies and future prospects that are expected to drive innovation and widespread adoption in the near future.
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Wang et al. (Fri,) studied this question.
synapsesocial.com/papers/69dabfb7a6045d71bfa3e158 — DOI: https://doi.org/10.1002/adma.202307393
Jinyong Wang
Xuzhou University of Technology
Nasir Ilyas
University of Electronic Science and Technology of China
Yujing Ren
Northwest A&F University
Advanced Materials
National University of Singapore
Agency for Science, Technology and Research
University of Electronic Science and Technology of China
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