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Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications

Two-dimensional (2D) layered materials and their heterostructures have recently been recognized as promising building blocks for futuristic brain-like neuromorphic computing devices. They exhibit unique properties such as near-atomic thickness, dangling-bond-free surfaces, high mechanical robustness...

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Autores principales: Ko, Tae-Jun, Li, Hao, Mofid, Sohrab Alex, Yoo, Changhyeon, Okogbue, Emmanuel, Han, Sang Sub, Shawkat, Mashiyat Sumaiya, Krishnaprasad, Adithi, Islam, Molla Manjurul, Dev, Durjoy, Shin, Yongjun, Oh, Kyu Hwan, Lee, Gwan-Hyoung, Roy, Tania, Jung, Yeonwoong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600392/
https://www.ncbi.nlm.nih.gov/pubmed/33163934
http://dx.doi.org/10.1016/j.isci.2020.101676
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author Ko, Tae-Jun
Li, Hao
Mofid, Sohrab Alex
Yoo, Changhyeon
Okogbue, Emmanuel
Han, Sang Sub
Shawkat, Mashiyat Sumaiya
Krishnaprasad, Adithi
Islam, Molla Manjurul
Dev, Durjoy
Shin, Yongjun
Oh, Kyu Hwan
Lee, Gwan-Hyoung
Roy, Tania
Jung, Yeonwoong
author_facet Ko, Tae-Jun
Li, Hao
Mofid, Sohrab Alex
Yoo, Changhyeon
Okogbue, Emmanuel
Han, Sang Sub
Shawkat, Mashiyat Sumaiya
Krishnaprasad, Adithi
Islam, Molla Manjurul
Dev, Durjoy
Shin, Yongjun
Oh, Kyu Hwan
Lee, Gwan-Hyoung
Roy, Tania
Jung, Yeonwoong
author_sort Ko, Tae-Jun
collection PubMed
description Two-dimensional (2D) layered materials and their heterostructures have recently been recognized as promising building blocks for futuristic brain-like neuromorphic computing devices. They exhibit unique properties such as near-atomic thickness, dangling-bond-free surfaces, high mechanical robustness, and electrical/optical tunability. Such attributes unattainable with traditional electronic materials are particularly promising for high-performance artificial neurons and synapses, enabling energy-efficient operation, high integration density, and excellent scalability. In this review, diverse 2D materials explored for neuromorphic applications, including graphene, transition metal dichalcogenides, hexagonal boron nitride, and black phosphorous, are comprehensively overviewed. Their promise for neuromorphic applications are fully discussed in terms of material property suitability and device operation principles. Furthermore, up-to-date demonstrations of neuromorphic devices based on 2D materials or their heterostructures are presented. Lastly, the challenges associated with the successful implementation of 2D materials into large-scale devices and their material quality control will be outlined along with the future prospect of these emergent materials.
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spelling pubmed-76003922020-11-05 Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications Ko, Tae-Jun Li, Hao Mofid, Sohrab Alex Yoo, Changhyeon Okogbue, Emmanuel Han, Sang Sub Shawkat, Mashiyat Sumaiya Krishnaprasad, Adithi Islam, Molla Manjurul Dev, Durjoy Shin, Yongjun Oh, Kyu Hwan Lee, Gwan-Hyoung Roy, Tania Jung, Yeonwoong iScience Review Two-dimensional (2D) layered materials and their heterostructures have recently been recognized as promising building blocks for futuristic brain-like neuromorphic computing devices. They exhibit unique properties such as near-atomic thickness, dangling-bond-free surfaces, high mechanical robustness, and electrical/optical tunability. Such attributes unattainable with traditional electronic materials are particularly promising for high-performance artificial neurons and synapses, enabling energy-efficient operation, high integration density, and excellent scalability. In this review, diverse 2D materials explored for neuromorphic applications, including graphene, transition metal dichalcogenides, hexagonal boron nitride, and black phosphorous, are comprehensively overviewed. Their promise for neuromorphic applications are fully discussed in terms of material property suitability and device operation principles. Furthermore, up-to-date demonstrations of neuromorphic devices based on 2D materials or their heterostructures are presented. Lastly, the challenges associated with the successful implementation of 2D materials into large-scale devices and their material quality control will be outlined along with the future prospect of these emergent materials. Elsevier 2020-10-13 /pmc/articles/PMC7600392/ /pubmed/33163934 http://dx.doi.org/10.1016/j.isci.2020.101676 Text en http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ko, Tae-Jun
Li, Hao
Mofid, Sohrab Alex
Yoo, Changhyeon
Okogbue, Emmanuel
Han, Sang Sub
Shawkat, Mashiyat Sumaiya
Krishnaprasad, Adithi
Islam, Molla Manjurul
Dev, Durjoy
Shin, Yongjun
Oh, Kyu Hwan
Lee, Gwan-Hyoung
Roy, Tania
Jung, Yeonwoong
Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications
title Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications
title_full Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications
title_fullStr Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications
title_full_unstemmed Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications
title_short Two-Dimensional Near-Atom-Thickness Materials for Emerging Neuromorphic Devices and Applications
title_sort two-dimensional near-atom-thickness materials for emerging neuromorphic devices and applications
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600392/
https://www.ncbi.nlm.nih.gov/pubmed/33163934
http://dx.doi.org/10.1016/j.isci.2020.101676
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