Materials Today Physics, volume 18, pages 100393

Synaptic devices based neuromorphic computing applications in artificial intelligence

Weiyong Yuan ^{1, 2}

Tao Guo ¹

Guangdong Zhou

Guangdong Zhou ³

Shubham Ranjan ⁴

Yixuan Jiao ¹

Lan Wei

Lan Wei ⁴

Y. Norman. Zhou

Y. Zhou ¹

Yimin A Wu ¹

Hide authors affiliations Show authors affiliations: 4 affiliations

Department of Mechanical and Mechatronics Engineering, Waterloo Institute for Nanotechnology, Centre for Advanced Materials Joining, University of Waterloo,Waterloo, Ontario N2L 3G1, Canada |

School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials (Ministry of Education of China), Southwest Jiaotong University, Chengdu, Sichuan 610031, China |

Scholl of Artificial Intelligence, Southwest University, Chongqing, 400715, China |

⁴

Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada. |

Publication type: Journal Article

Publication date: 2021-05-01

Elsevier

Journal: Materials Today Physics

Quartile SCImago

Quartile WOS

Impact factor: 11.5

ISSN: 25425293, 25425293

DOI: 10.1016/j.mtphys.2021.100393

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General Materials Science

Physics and Astronomy (miscellaneous)

Energy (miscellaneous)

Abstract

Synaptic devices, including synaptic memristor and synaptic transistor, are emerging nanoelectronic devices, which are expected to subvert traditional data storage and computing methodologies. In particular, the memristive device and synaptic transistor can conduct neuromorphic computing to mimic the functions of human brain, which enables high-performance super-parallel computing, so that it overcomes the von Neumann bottleneck. Based on a new perspective and understanding, this review focuses on the discussions of synaptic devices based neuromorphic computing applications in artificial intelligence. It begins with the memristive device structure, circuit theory, fabrication method and simulation of the neuromorphic computing. Then, it focuses on the materials selection, including the 0D quantum dots, 1D nanostructure, 2D nanomaterials, 3D architectures, transition metal oxide, ferroelectric materials, alloy, and organic materials. As followed, the printable synaptic devices and typical device integration systems for neuromorphic computing applications are discussed. Finally, the future applications in neuromorphic vision, sensor, human machine intelligence, topological and quantum computing are discussed. • The memristors can conduct neuromorphic computing to mimic the functions of human brain. • This review focuses on from memristive materials to neuromorphic computing applications. • The organic and printable neuromorphic devices and integration systems are discussed. • The neuromorphic vision, sensing, topological and quantum computing are highlighted.

By date By citations

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Citations by journals

	1 2 3 4 5 6
ACS applied materials & interfaces	ACS applied materials & interfaces, 6, 3.68% ACS applied materials & interfaces 6 publications, 3.68%
Applied Physics Letters	Applied Physics Letters, 6, 3.68% Applied Physics Letters 6 publications, 3.68%
Nanomaterials	Nanomaterials, 5, 3.07% Nanomaterials 5 publications, 3.07%
Advanced Electronic Materials	Advanced Electronic Materials, 5, 3.07% Advanced Electronic Materials 5 publications, 3.07%
Advanced Functional Materials	Advanced Functional Materials, 5, 3.07% Advanced Functional Materials 5 publications, 3.07%
ACS Applied Electronic Materials	ACS Applied Electronic Materials, 4, 2.45% ACS Applied Electronic Materials 4 publications, 2.45%
Journal of Materials Chemistry C	Journal of Materials Chemistry C, 4, 2.45% Journal of Materials Chemistry C 4 publications, 2.45%
Journal of Alloys and Compounds	Journal of Alloys and Compounds, 4, 2.45% Journal of Alloys and Compounds 4 publications, 2.45%
Ceramics International	Ceramics International, 4, 2.45% Ceramics International 4 publications, 2.45%
IEEE Transactions on Electron Devices	IEEE Transactions on Electron Devices, 3, 1.84% IEEE Transactions on Electron Devices 3 publications, 1.84%
Journal of Materials Science: Materials in Electronics	Journal of Materials Science: Materials in Electronics, 3, 1.84% Journal of Materials Science: Materials in Electronics 3 publications, 1.84%
ACS Materials Letters	ACS Materials Letters, 3, 1.84% ACS Materials Letters 3 publications, 1.84%
Electronics (Switzerland)	Electronics (Switzerland), 3, 1.84% Electronics (Switzerland) 3 publications, 1.84%
Advanced Materials	Advanced Materials, 3, 1.84% Advanced Materials 3 publications, 1.84%
Small	Small, 3, 1.84% Small 3 publications, 1.84%
Biomimetics	Biomimetics, 3, 1.84% Biomimetics 3 publications, 1.84%
Organic Electronics	Organic Electronics, 3, 1.84% Organic Electronics 3 publications, 1.84%
Materials Today Physics	Materials Today Physics, 3, 1.84% Materials Today Physics 3 publications, 1.84%
Materials	Materials, 2, 1.23% Materials 2 publications, 1.23%
Neuromorphic Computing and Engineering	Neuromorphic Computing and Engineering, 2, 1.23% Neuromorphic Computing and Engineering 2 publications, 1.23%
Advanced Science	Advanced Science, 2, 1.23% Advanced Science 2 publications, 1.23%
Nanoscale Horizons	Nanoscale Horizons, 2, 1.23% Nanoscale Horizons 2 publications, 1.23%
Journal of Physical Chemistry Letters	Journal of Physical Chemistry Letters, 2, 1.23% Journal of Physical Chemistry Letters 2 publications, 1.23%
Current Applied Physics	Current Applied Physics, 2, 1.23% Current Applied Physics 2 publications, 1.23%
Nano Energy	Nano Energy, 2, 1.23% Nano Energy 2 publications, 1.23%
Applied Surface Science	Applied Surface Science, 2, 1.23% Applied Surface Science 2 publications, 1.23%
Materials Today Nano	Materials Today Nano, 2, 1.23% Materials Today Nano 2 publications, 1.23%
Advanced Physics Research	Advanced Physics Research, 1, 0.61% Advanced Physics Research 1 publication, 0.61%
Journal of Applied Physics	Journal of Applied Physics, 1, 0.61% Journal of Applied Physics 1 publication, 0.61%
	1 2 3 4 5 6

Citations by publishers

	5 10 15 20 25 30 35 40 45
Elsevier	Elsevier, 43, 26.38% Elsevier 43 publications, 26.38%
American Chemical Society (ACS)	American Chemical Society (ACS), 23, 14.11% American Chemical Society (ACS) 23 publications, 14.11%
Wiley	Wiley, 23, 14.11% Wiley 23 publications, 14.11%
Multidisciplinary Digital Publishing Institute (MDPI)	Multidisciplinary Digital Publishing Institute (MDPI), 16, 9.82% Multidisciplinary Digital Publishing Institute (MDPI) 16 publications, 9.82%
Springer Nature	Springer Nature, 11, 6.75% Springer Nature 11 publications, 6.75%
Royal Society of Chemistry (RSC)	Royal Society of Chemistry (RSC), 10, 6.13% Royal Society of Chemistry (RSC) 10 publications, 6.13%
American Institute of Physics (AIP)	American Institute of Physics (AIP), 9, 5.52% American Institute of Physics (AIP) 9 publications, 5.52%
IEEE	IEEE, 7, 4.29% IEEE 7 publications, 4.29%
IOP Publishing	IOP Publishing, 7, 4.29% IOP Publishing 7 publications, 4.29%
World Scientific	World Scientific, 1, 0.61% World Scientific 1 publication, 0.61%
Frontiers Media S.A.	Frontiers Media S.A., 1, 0.61% Frontiers Media S.A. 1 publication, 0.61%
Taylor & Francis	Taylor & Francis, 1, 0.61% Taylor & Francis 1 publication, 0.61%
SAGE	SAGE, 1, 0.61% SAGE 1 publication, 0.61%
Pleiades Publishing	Pleiades Publishing, 1, 0.61% Pleiades Publishing 1 publication, 0.61%
Association for Computing Machinery (ACM)	Association for Computing Machinery (ACM), 1, 0.61% Association for Computing Machinery (ACM) 1 publication, 0.61%
Polymer Society of Korea	Polymer Society of Korea, 1, 0.61% Polymer Society of Korea 1 publication, 0.61%
American Physical Society (APS)	American Physical Society (APS), 1, 0.61% American Physical Society (APS) 1 publication, 0.61%
American Association for the Advancement of Science (AAAS)	American Association for the Advancement of Science (AAAS), 1, 0.61% American Association for the Advancement of Science (AAAS) 1 publication, 0.61%
Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii	Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii, 1, 0.61% Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii 1 publication, 0.61%
	5 10 15 20 25 30 35 40 45

We do not take into account publications without a DOI.
Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
Statistics recalculated weekly.

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Yuan W. et al. Synaptic devices based neuromorphic computing applications in artificial intelligence // Materials Today Physics. 2021. Vol. 18. p. 100393.

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Yuan W., Guo T., Zhou G., Zhou G., Ranjan S., Jiao Y., Wei L., Wei L., Zhou Y. N., Zhou Y., Wu Y. A. Synaptic devices based neuromorphic computing applications in artificial intelligence // Materials Today Physics. 2021. Vol. 18. p. 100393.

RIS |

Cite this

RIS Copy

TY - JOUR

DO - 10.1016/j.mtphys.2021.100393

UR - https://doi.org/10.1016/j.mtphys.2021.100393

TI - Synaptic devices based neuromorphic computing applications in artificial intelligence

T2 - Materials Today Physics

AU - Yuan, Weiyong

AU - Guo, Tao

AU - Zhou, Guangdong

AU - Ranjan, Shubham

AU - Jiao, Yixuan

AU - Wei, Lan

AU - Zhou, Y. Norman.

AU - Wu, Yimin A

AU - Zhou, Guangdong

AU - Wei, Lan

AU - Zhou, Y.

PY - 2021

DA - 2021/05/01 00:00:00

PB - Elsevier

SP - 100393

VL - 18

SN - 2542-5293

ER -

BibTex

Cite this

BibTex Copy

@article{2021_Yuan,

author = {Weiyong Yuan and Tao Guo and Guangdong Zhou and Shubham Ranjan and Yixuan Jiao and Lan Wei and Y. Norman. Zhou and Yimin A Wu and Guangdong Zhou and Lan Wei and Y. Zhou},

title = {Synaptic devices based neuromorphic computing applications in artificial intelligence},

journal = {Materials Today Physics},

year = {2021},

volume = {18},

publisher = {Elsevier},

month = {may},

url = {https://doi.org/10.1016/j.mtphys.2021.100393},

pages = {100393},

doi = {10.1016/j.mtphys.2021.100393}

}

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Publisher

Elsevier

Journal

Materials Today Physics

Quartile SCImago

Quartile WOS

Impact factor

11.5

ISSN

25425293 (Electronic)
25425293 (Print)

Profiles

Sun, Bai Wang