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Technology and Integration Roadmap for Optoelectronic Memristor.
Wang, Jinyong; Ilyas, Nasir; Ren, Yujing; Ji, Yun; Li, Sifan; Li, Changcun; Liu, Fucai; Gu, Deen; Ang, Kah-Wee.
Afiliação
  • Wang J; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
  • Ilyas N; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore.
  • Ren Y; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
  • Ji Y; Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, 117585, Singapore.
  • Li S; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore.
  • Li C; Department of Electrical and Computer Engineering, National University of Singapore, Singapore, 117576, Singapore.
  • Liu F; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
  • Gu D; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
  • Ang KW; School of Optoelectronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, P. R. China.
Adv Mater ; 36(9): e2307393, 2024 Mar.
Article em En | MEDLINE | ID: mdl-37739413
ABSTRACT
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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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article