Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications

Conventional von Neumann–based computing systems have inherent limitations such as high hardware complexity, relatively inferior energy efficiency, and low bandwidth. As an alternative, neuromorphic computation is emerging as a platform for next‐generation artificial intelligence computing systems d...

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Main Authors: Seungho Song, Jeehoon Kim, Sung Min Kwon, Jeong‐Wan Jo, Sung Kyu Park, Yong‐Hoon Kim
Format: Article
Language:English
Published: Wiley 2021-04-01
Series:Advanced Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1002/aisy.202000119
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author Seungho Song
Jeehoon Kim
Sung Min Kwon
Jeong‐Wan Jo
Sung Kyu Park
Yong‐Hoon Kim
author_facet Seungho Song
Jeehoon Kim
Sung Min Kwon
Jeong‐Wan Jo
Sung Kyu Park
Yong‐Hoon Kim
author_sort Seungho Song
collection DOAJ
description Conventional von Neumann–based computing systems have inherent limitations such as high hardware complexity, relatively inferior energy efficiency, and low bandwidth. As an alternative, neuromorphic computation is emerging as a platform for next‐generation artificial intelligence computing systems due to their potential advantages such as highly energy‐efficient computing, robust learning, fault tolerance, and parallel processing. Moreover, to further enhance the energy efficiency and processing speed, photonic‐based neuromorphic systems have gathered significant interest in the past few years. Herein, the recent progress and development of optoelectronic and all‐optical neuromorphic devices is summarized, focusing on their structures, materials, and potential applications. Particularly, for optoelectronic neuromorphic devices, devices with planar and vertical structures are described along with their key strategies in materials and device structures. Next, all‐optical memory and neuromorphic devices for neuromorphic computing are reviewed. Finally, the applications of optoelectronic neuromorphic devices are discussed for their potential utilization in neuromorphic computing systems.
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spelling doaj.art-4df61b6389d040719d080ce3ace726882022-12-21T22:44:44ZengWileyAdvanced Intelligent Systems2640-45672021-04-0134n/an/a10.1002/aisy.202000119Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and ApplicationsSeungho Song0Jeehoon Kim1Sung Min Kwon2Jeong‐Wan Jo3Sung Kyu Park4Yong‐Hoon Kim5School of Advanced Materials Science and Engineering Sungkyunkwan University Suwon 16419 KoreaSchool of Advanced Materials Science and Engineering Sungkyunkwan University Suwon 16419 KoreaSchool of Electrical and Electronics Engineering Chung‐Ang University Seoul 06980 KoreaElectrical Engineering Division Department of Engineering University of Cambridge Cambridge CB3 0FA UKSchool of Electrical and Electronics Engineering Chung‐Ang University Seoul 06980 KoreaSchool of Advanced Materials Science and Engineering Sungkyunkwan University Suwon 16419 KoreaConventional von Neumann–based computing systems have inherent limitations such as high hardware complexity, relatively inferior energy efficiency, and low bandwidth. As an alternative, neuromorphic computation is emerging as a platform for next‐generation artificial intelligence computing systems due to their potential advantages such as highly energy‐efficient computing, robust learning, fault tolerance, and parallel processing. Moreover, to further enhance the energy efficiency and processing speed, photonic‐based neuromorphic systems have gathered significant interest in the past few years. Herein, the recent progress and development of optoelectronic and all‐optical neuromorphic devices is summarized, focusing on their structures, materials, and potential applications. Particularly, for optoelectronic neuromorphic devices, devices with planar and vertical structures are described along with their key strategies in materials and device structures. Next, all‐optical memory and neuromorphic devices for neuromorphic computing are reviewed. Finally, the applications of optoelectronic neuromorphic devices are discussed for their potential utilization in neuromorphic computing systems.https://doi.org/10.1002/aisy.202000119all‐optical neuromorphic devicesdevice structuresoptoelectronic devicessynapses
spellingShingle Seungho Song
Jeehoon Kim
Sung Min Kwon
Jeong‐Wan Jo
Sung Kyu Park
Yong‐Hoon Kim
Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications
Advanced Intelligent Systems
all‐optical neuromorphic devices
device structures
optoelectronic devices
synapses
title Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications
title_full Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications
title_fullStr Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications
title_full_unstemmed Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications
title_short Recent Progress of Optoelectronic and All‐Optical Neuromorphic Devices: A Comprehensive Review of Device Structures, Materials, and Applications
title_sort recent progress of optoelectronic and all optical neuromorphic devices a comprehensive review of device structures materials and applications
topic all‐optical neuromorphic devices
device structures
optoelectronic devices
synapses
url https://doi.org/10.1002/aisy.202000119
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