Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing

Xueli Geng; Qin Gao; Gang Wu; Jiangshun Huang; Guoxing Wang; Yanbo Xin; Juan Gao; Bo Liang; Lei Gao; Mei Wang; Zhisong Xiao; Paul K. Chu; Anping Huang

doi:10.1021/acsami.4c06328

Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing

Xueli Geng, Qin Gao, Gang Wu, Jiangshun Huang, Guoxing Wang, Yanbo Xin, Juan Gao, Bo Liang, Lei Gao, Mei Wang, Zhisong Xiao, Paul K. Chu, Anping Huang^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

4 Citations (Scopus)

Abstract

The quantum conductance (QC) behaviors in synaptic devices with stable and tunable conductance states are essential for high-density storage and brain-like neurocomputing (NC). In this work, inspired by the discontinuous transport of fluid in spider silk, a synaptic device composed of a silicon oxide nanowire network embedded with silicon quantum dots (Si-QDs@SiO_x) is designed. The tunable QC behaviors are achieved in both the SET and RESET processes, and the QC states exhibit stable retention time exceeding 10⁴ s in the synaptic device and show stable reproducibility after an interval of two months. The synaptic plasticity, including long-term potentiation/depression and Pavlovian conditioning function, is simulated based on the tunable conductance. The mechanism of stable and tunable QC behaviors is analyzed and clarified by beading effect of spider silk in Si-QDs@SiO_x nanowires structure. The digit recognition capability of the device is evaluated by simulation using an artificial neural network consisting of the Si-QDs@SiO_x-based synaptic device. These results provide insights into the development of neurocomputing systems with high classification accuracy. © 2024 American Chemical Society.

Original language	English
Pages (from-to)	39807-39817
Journal	ACS Applied Materials and Interfaces
Volume	16
Issue number	30
Online published	16 Jul 2024
DOIs	https://doi.org/10.1021/acsami.4c06328
Publication status	Published - 31 Jul 2024

Funding

This research was supported by the Industry University Research Cooperation Fund of the Eighth Research Institute of China Aerospace Science and Technology Corporation (SAST2023-030) and City University of Hong Kong Donation Research Grant (Grant Nos. DON-RMG 9229021 and 9220061).

Research Keywords

beading effect
neurocomputing
quantum conductance
quantum dots
synaptic devices

RGC Funding Information

RGC-funded

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10.1021/acsami.4c06328

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title = "Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing",

abstract = "The quantum conductance (QC) behaviors in synaptic devices with stable and tunable conductance states are essential for high-density storage and brain-like neurocomputing (NC). In this work, inspired by the discontinuous transport of fluid in spider silk, a synaptic device composed of a silicon oxide nanowire network embedded with silicon quantum dots (Si-QDs@SiOx) is designed. The tunable QC behaviors are achieved in both the SET and RESET processes, and the QC states exhibit stable retention time exceeding 104 s in the synaptic device and show stable reproducibility after an interval of two months. The synaptic plasticity, including long-term potentiation/depression and Pavlovian conditioning function, is simulated based on the tunable conductance. The mechanism of stable and tunable QC behaviors is analyzed and clarified by beading effect of spider silk in Si-QDs@SiOx nanowires structure. The digit recognition capability of the device is evaluated by simulation using an artificial neural network consisting of the Si-QDs@SiOx-based synaptic device. These results provide insights into the development of neurocomputing systems with high classification accuracy. {\textcopyright} 2024 American Chemical Society.",

keywords = "beading effect, neurocomputing, quantum conductance, quantum dots, synaptic devices",

author = "Xueli Geng and Qin Gao and Gang Wu and Jiangshun Huang and Guoxing Wang and Yanbo Xin and Juan Gao and Bo Liang and Lei Gao and Mei Wang and Zhisong Xiao and Chu, {Paul K.} and Anping Huang",

year = "2024",

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doi = "10.1021/acsami.4c06328",

language = "English",

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journal = "ACS Applied Materials and Interfaces",

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TY - JOUR

T1 - Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing

AU - Geng, Xueli

AU - Gao, Qin

AU - Wu, Gang

AU - Huang, Jiangshun

AU - Wang, Guoxing

AU - Xin, Yanbo

AU - Gao, Juan

AU - Liang, Bo

AU - Gao, Lei

AU - Wang, Mei

AU - Xiao, Zhisong

AU - Chu, Paul K.

AU - Huang, Anping

PY - 2024/7/31

Y1 - 2024/7/31

N2 - The quantum conductance (QC) behaviors in synaptic devices with stable and tunable conductance states are essential for high-density storage and brain-like neurocomputing (NC). In this work, inspired by the discontinuous transport of fluid in spider silk, a synaptic device composed of a silicon oxide nanowire network embedded with silicon quantum dots (Si-QDs@SiOx) is designed. The tunable QC behaviors are achieved in both the SET and RESET processes, and the QC states exhibit stable retention time exceeding 104 s in the synaptic device and show stable reproducibility after an interval of two months. The synaptic plasticity, including long-term potentiation/depression and Pavlovian conditioning function, is simulated based on the tunable conductance. The mechanism of stable and tunable QC behaviors is analyzed and clarified by beading effect of spider silk in Si-QDs@SiOx nanowires structure. The digit recognition capability of the device is evaluated by simulation using an artificial neural network consisting of the Si-QDs@SiOx-based synaptic device. These results provide insights into the development of neurocomputing systems with high classification accuracy. © 2024 American Chemical Society.

AB - The quantum conductance (QC) behaviors in synaptic devices with stable and tunable conductance states are essential for high-density storage and brain-like neurocomputing (NC). In this work, inspired by the discontinuous transport of fluid in spider silk, a synaptic device composed of a silicon oxide nanowire network embedded with silicon quantum dots (Si-QDs@SiOx) is designed. The tunable QC behaviors are achieved in both the SET and RESET processes, and the QC states exhibit stable retention time exceeding 104 s in the synaptic device and show stable reproducibility after an interval of two months. The synaptic plasticity, including long-term potentiation/depression and Pavlovian conditioning function, is simulated based on the tunable conductance. The mechanism of stable and tunable QC behaviors is analyzed and clarified by beading effect of spider silk in Si-QDs@SiOx nanowires structure. The digit recognition capability of the device is evaluated by simulation using an artificial neural network consisting of the Si-QDs@SiOx-based synaptic device. These results provide insights into the development of neurocomputing systems with high classification accuracy. © 2024 American Chemical Society.

KW - beading effect

KW - neurocomputing

KW - quantum conductance

KW - quantum dots

KW - synaptic devices

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U2 - 10.1021/acsami.4c06328

DO - 10.1021/acsami.4c06328

M3 - RGC 21 - Publication in refereed journal

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EP - 39817

JO - ACS Applied Materials and Interfaces

JF - ACS Applied Materials and Interfaces

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ER -

Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing

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DON_RMG: Fabrication, Characterization, and Properties of Functional Materials - RMGS

DON: Surface Modification and Fabrication of Advanced Materials

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Stable and Tunable Quantum Conductance in Spider-Silk-like Synaptic Device for Neurocomputing

Abstract

Funding

Research Keywords

RGC Funding Information

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Projects

DON_RMG: Fabrication, Characterization, and Properties of Functional Materials - RMGS

DON: Surface Modification and Fabrication of Advanced Materials

Cite this