Low-Dimensional-Materials-Based Flexible Artificial Synapse: Materials, Devices, and Systems.

Lu, Q; Zhao, Y; Huang, L; An, J; Zheng, Y; Yap, EH

Low-Dimensional-Materials-Based Flexible Artificial Synapse: Materials, Devices, and Systems.

Lu, Q Zhao, Y Huang, L An, J Zheng, Y Yap, EH

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Nanomaterials (Basel), 2023, 13, (3), pp. 373
Issue Date:: 2023-01-17

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Field	Value	Language
dc.contributor.author	Lu, Q
dc.contributor.author	Zhao, Y
dc.contributor.author	Huang, L
dc.contributor.author	An, J
dc.contributor.author	Zheng, Y
dc.contributor.author	Yap, EH
dc.date.accessioned	2024-05-13T22:00:43Z
dc.date.available	2023-01-15
dc.date.available	2024-05-13T22:00:43Z
dc.date.issued	2023-01-17
dc.identifier.citation	Nanomaterials (Basel), 2023, 13, (3), pp. 373
dc.identifier.issn	2079-4991
dc.identifier.issn	2079-4991
dc.identifier.uri	http://hdl.handle.net/10453/178952
dc.description.abstract	With the rapid development of artificial intelligence and the Internet of Things, there is an explosion of available data for processing and analysis in any domain. However, signal processing efficiency is limited by the Von Neumann structure for the conventional computing system. Therefore, the design and construction of artificial synapse, which is the basic unit for the hardware-based neural network, by mimicking the structure and working mechanisms of biological synapses, have attracted a great amount of attention to overcome this limitation. In addition, a revolution in healthcare monitoring, neuro-prosthetics, and human-machine interfaces can be further realized with a flexible device integrating sensing, memory, and processing functions by emulating the bionic sensory and perceptual functions of neural systems. Until now, flexible artificial synapses and related neuromorphic systems, which are capable of responding to external environmental stimuli and processing signals efficiently, have been extensively studied from material-selection, structure-design, and system-integration perspectives. Moreover, low-dimensional materials, which show distinct electrical properties and excellent mechanical properties, have been extensively employed in the fabrication of flexible electronics. In this review, recent progress in flexible artificial synapses and neuromorphic systems based on low-dimensional materials is discussed. The potential and the challenges of the devices and systems in the application of neuromorphic computing and sensory systems are also explored.
dc.format	Electronic
dc.language	eng
dc.publisher	MDPI
dc.relation.ispartof	Nanomaterials (Basel)
dc.relation.isbasedon	10.3390/nano13030373
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0912 Materials Engineering, 1007 Nanotechnology
dc.subject.classification	4016 Materials engineering
dc.subject.classification	4018 Nanotechnology
dc.title	Low-Dimensional-Materials-Based Flexible Artificial Synapse: Materials, Devices, and Systems.
dc.type	Journal Article
utslib.citation.volume	13
utslib.location.activity	Switzerland
utslib.for	0912 Materials Engineering
utslib.for	1007 Nanotechnology
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Provost
pubs.organisational-group	University of Technology Sydney/Provost/TD School
utslib.copyright.status	open_access	*
dc.date.updated	2024-05-13T21:59:50Z
pubs.issue	3
pubs.publication-status	Published online
pubs.volume	13
utslib.citation.issue	3

Abstract:

With the rapid development of artificial intelligence and the Internet of Things, there is an explosion of available data for processing and analysis in any domain. However, signal processing efficiency is limited by the Von Neumann structure for the conventional computing system. Therefore, the design and construction of artificial synapse, which is the basic unit for the hardware-based neural network, by mimicking the structure and working mechanisms of biological synapses, have attracted a great amount of attention to overcome this limitation. In addition, a revolution in healthcare monitoring, neuro-prosthetics, and human-machine interfaces can be further realized with a flexible device integrating sensing, memory, and processing functions by emulating the bionic sensory and perceptual functions of neural systems. Until now, flexible artificial synapses and related neuromorphic systems, which are capable of responding to external environmental stimuli and processing signals efficiently, have been extensively studied from material-selection, structure-design, and system-integration perspectives. Moreover, low-dimensional materials, which show distinct electrical properties and excellent mechanical properties, have been extensively employed in the fabrication of flexible electronics. In this review, recent progress in flexible artificial synapses and neuromorphic systems based on low-dimensional materials is discussed. The potential and the challenges of the devices and systems in the application of neuromorphic computing and sensory systems are also explored.

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http://hdl.handle.net/10453/178952