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A low-power memristor based on 2H–MoTe2 nanosheets with synaptic plasticity and arithmetic functions


Citation

Yu, T. and Zhao, Z. and Jiang, H. and Weng, Z. and Fang, Y. and Liu, C. and Lei, W. and Shafe, S.B. and Mohtar, M.N. (2022) A low-power memristor based on 2H–MoTe2 nanosheets with synaptic plasticity and arithmetic functions. Materials Today Nano, 19. art. no. 100233. pp. 1-7. ISSN 2588-8420

Abstract

Bionic artificial synapses based on 2D transition metal dichalcogenides are comparable to biological synapses due to the unique properties, which are important for building brain-like computing to break the energy and data throughput limit of the von Neumann architecture. In this work, a two-terminal memristor with vertical structure was fabricated by using 2H–MoTe2 nanosheet dispersion. The fabricated memristor based on the Cu/MoTe2/Si structure not only exhibits the stable bipolar nonvolatile resistive switching behavior but also implements the centralized distribution of threshold voltage, and the SET/RESET power can be as low as 0.86 μW/93 nW. Impressively, classical synaptic functions including long-term potentiation/long-term depression, excitatory postsynaptic currents, spike-timing-dependent plasticity, and paired-pulse facilitation were mimicked, which attribute to the formation and rupturing of Cu conductive filaments. Interestingly, the simple arithmetic functions can be operated. Therefore, this work provides a new solution for the development of synaptic devices and neural computing research in the future.


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Additional Metadata

Item Type: Article
Divisions: Institute of Advanced Technology
DOI Number: https://doi.org/10.1016/j.mtnano.2022.100233
Publisher: Elsevier
Keywords: Transition metal dichalcogenides; Artificial synapse; Cu conductive filament; Neuromorphic computing; Counting and adding
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 11 Jul 2024 07:45
Last Modified: 11 Jul 2024 07:45
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.mtnano.2022.100233
URI: http://psasir.upm.edu.my/id/eprint/100170
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