Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores

Memristive synapses based on resistive switching are promising electronic devices that emulate the synaptic plasticity in neural systems. Short-term plasticity (STP), reflecting a temporal strengthening of the synaptic connection, allows artificial synapses to perform critical computational function...

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Main Authors: Li, Bin, Liu, Yaqing, Wan, Changjin, Liu, Zhiyuan, Wang, Ming, Qi, Dianpeng, Yu, Jiancan, Cai, Pingqiang, Xiao, Meng, Zeng, Yi, Chen, Xiaodong
Other Authors: School of Materials Science & Engineering
Format: Journal Article
Language:English
Published: 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138663
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author Li, Bin
Liu, Yaqing
Wan, Changjin
Liu, Zhiyuan
Wang, Ming
Qi, Dianpeng
Yu, Jiancan
Cai, Pingqiang
Xiao, Meng
Zeng, Yi
Chen, Xiaodong
author2 School of Materials Science & Engineering
author_facet School of Materials Science & Engineering
Li, Bin
Liu, Yaqing
Wan, Changjin
Liu, Zhiyuan
Wang, Ming
Qi, Dianpeng
Yu, Jiancan
Cai, Pingqiang
Xiao, Meng
Zeng, Yi
Chen, Xiaodong
author_sort Li, Bin
collection NTU
description Memristive synapses based on resistive switching are promising electronic devices that emulate the synaptic plasticity in neural systems. Short-term plasticity (STP), reflecting a temporal strengthening of the synaptic connection, allows artificial synapses to perform critical computational functions, such as fast response and information filtering. To mediate this fundamental property in memristive electronic devices, the regulation of the dynamic resistive change is necessary for an artificial synapse. Here, it is demonstrated that the orientation of mesopores in the dielectric silica layer can be used to modulate the STP of an artificial memristive synapse. The dielectric silica layer with vertical mesopores can facilitate the formation of a conductive pathway, which underlies a lower set voltage (≈1.0 V) compared to these with parallel mesopores (≈1.2 V) and dense amorphous silica (≈2.0 V). Also, the artificial memristive synapses with vertical mesopores exhibit the fastest current increase by successive voltage pulses. Finally, oriented silica mesopores are designed for varying the relaxation time of memory, and thus the successful mediation of STP is achieved. The implementation of mesoporous orientation provides a new perspective for engineering artificial synapses with multilevel learning and forgetting capability, which is essential for neuromorphic computing.
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spelling ntu-10356/1386632023-07-14T15:59:35Z Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores Li, Bin Liu, Yaqing Wan, Changjin Liu, Zhiyuan Wang, Ming Qi, Dianpeng Yu, Jiancan Cai, Pingqiang Xiao, Meng Zeng, Yi Chen, Xiaodong School of Materials Science & Engineering Engineering::Materials Artificial Memristive Synapses Mesopores Memristive synapses based on resistive switching are promising electronic devices that emulate the synaptic plasticity in neural systems. Short-term plasticity (STP), reflecting a temporal strengthening of the synaptic connection, allows artificial synapses to perform critical computational functions, such as fast response and information filtering. To mediate this fundamental property in memristive electronic devices, the regulation of the dynamic resistive change is necessary for an artificial synapse. Here, it is demonstrated that the orientation of mesopores in the dielectric silica layer can be used to modulate the STP of an artificial memristive synapse. The dielectric silica layer with vertical mesopores can facilitate the formation of a conductive pathway, which underlies a lower set voltage (≈1.0 V) compared to these with parallel mesopores (≈1.2 V) and dense amorphous silica (≈2.0 V). Also, the artificial memristive synapses with vertical mesopores exhibit the fastest current increase by successive voltage pulses. Finally, oriented silica mesopores are designed for varying the relaxation time of memory, and thus the successful mediation of STP is achieved. The implementation of mesoporous orientation provides a new perspective for engineering artificial synapses with multilevel learning and forgetting capability, which is essential for neuromorphic computing. NRF (Natl Research Foundation, S’pore) MOE (Min. of Education, S’pore) Accepted version 2020-05-11T08:04:34Z 2020-05-11T08:04:34Z 2018 Journal Article Li, B., Liu, Y., Wan, C., Liu, Z., Wang, M., Qi, D., . . . Chen, X. (2018). Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores. Advanced materials, 30(16), 1706395-. doi:10.1002/adma.201706395 0935-9648 https://hdl.handle.net/10356/138663 10.1002/adma.201706395 29544021 2-s2.0-85043677193 16 30 1706395 (1 of 7) 1706395 (7 of 7 en Advanced Materials © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. All rights reserved. This paper was published in Advanced Materials and is made available with permission of WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. application/pdf
spellingShingle Engineering::Materials
Artificial Memristive Synapses
Mesopores
Li, Bin
Liu, Yaqing
Wan, Changjin
Liu, Zhiyuan
Wang, Ming
Qi, Dianpeng
Yu, Jiancan
Cai, Pingqiang
Xiao, Meng
Zeng, Yi
Chen, Xiaodong
Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
title Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
title_full Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
title_fullStr Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
title_full_unstemmed Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
title_short Mediating short-term plasticity in an artificial memristive synapse by the orientation of silica mesopores
title_sort mediating short term plasticity in an artificial memristive synapse by the orientation of silica mesopores
topic Engineering::Materials
Artificial Memristive Synapses
Mesopores
url https://hdl.handle.net/10356/138663
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