Two-dimensional layered materials-based energy-efficient optoelectronic memories: A leap towards bionic vision

IF 21.1 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Aarti Dahiya , Parthasarathi Pal , Shalu Rani , Mohit Kumar Gautam , Roshni Shateesh Babu , Ioannis Zeimpekis , Dimitra G. Georgiadou , Sanjay Kumar
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引用次数: 0

Abstract

Optoelectronic memories have gained remarkable attention owing to their inherent capability of manipulating charge carriers under the influence of both electrical and light stimuli. The emerging optoelectronic neuromorphic devices can be used in diverse applications, including logical data processing, confidential information recording, and next-generation bionic visual systems. Photosensitive materials are foundational to many technologies, including solar cells, sensors, thin-film transistors, and light-emitting diodes. Recently, two-dimensional (2D) photosensitive materials have found application in bionic visual hardware based on optoelectronic synaptic memristor and memtransistor devices. The synthesis and growth of optoelectronic memories driven by 2D photosensitive materials have opened new horizons in the field of bionic visual systems due to their diverse optical properties, atomic scalability, and ultrafast charge carrier dynamics. This review highlights the recent developments in bionic visual hardware based on optoelectronic synaptic memristive devices and memtransistors, wherein various 2D photosensitive materials and device structures have been utilised. We first summarise the limitations of traditional computing, highlight the key advantages of this novel computing paradigm, and discuss the fundamentals of bio-vision formation. Next, we comprehensively review the various device structures and operating mechanisms of optoelectronic memristive and memtransistor architectures. The recent developments in optoelectronic synaptic devices by incorporating various 2D photosensitive materials and their application in the field of bionic visual perception are also discussed. Finally, we outline the current drawbacks and challenges of optoelectronic neuromorphic devices and the future perspective of bionic visual hardware on real system realisation.
基于二维分层材料的高能效光电存储器:向仿生视觉的飞跃
光电存储器由于其固有的在电和光刺激下操纵载流子的能力而受到了广泛的关注。新兴的光电神经形态器件可用于多种应用,包括逻辑数据处理、机密信息记录和下一代仿生视觉系统。光敏材料是许多技术的基础,包括太阳能电池、传感器、薄膜晶体管和发光二极管。近年来,二维光敏材料在基于光电突触忆阻器和忆晶体管器件的仿生视觉硬件中得到了应用。由二维光敏材料驱动的光电存储器的合成和发展,由于其多样的光学特性、原子可扩展性和超快载流子动力学,在仿生视觉系统领域开辟了新的领域。本文综述了基于光电突触记忆器件和记忆晶体管的仿生视觉硬件的最新进展,其中各种二维光敏材料和器件结构已被利用。我们首先总结了传统计算的局限性,强调了这种新型计算范式的主要优势,并讨论了生物视觉形成的基础。接下来,我们全面回顾了光电忆阻和忆晶体管结构的各种器件结构和工作机制。本文还讨论了结合各种二维光敏材料的光电突触器件的最新进展及其在仿生视觉感知领域的应用。最后,我们概述了目前光电神经形态器件的缺点和挑战,以及仿生视觉硬件在实际系统实现中的未来前景。
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来源期刊
Materials Science and Engineering: R: Reports
Materials Science and Engineering: R: Reports 工程技术-材料科学:综合
CiteScore
60.50
自引率
0.30%
发文量
19
审稿时长
34 days
期刊介绍: Materials Science & Engineering R: Reports is a journal that covers a wide range of topics in the field of materials science and engineering. It publishes both experimental and theoretical research papers, providing background information and critical assessments on various topics. The journal aims to publish high-quality and novel research papers and reviews. The subject areas covered by the journal include Materials Science (General), Electronic Materials, Optical Materials, and Magnetic Materials. In addition to regular issues, the journal also publishes special issues on key themes in the field of materials science, including Energy Materials, Materials for Health, Materials Discovery, Innovation for High Value Manufacturing, and Sustainable Materials development.
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