Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14801
Title: Bilayer Mos2 Based Memristive Crossbar Array for Neuromorphic Applications
Authors: Yadav, Saurabh
Patel, Chandrabhan
Chaudhary, Sumit
Paul, Animesh
Ghodke, Shruti Sandip
Mukherjee, Shaibal
Keywords: crossbar array;depression;Low variability;neuromorphic application;potentiation
Issue Date: 2024
Publisher: IEEE Computer Society
Citation: Yadav, S., Patel, C., Chaudhary, S., Paul, A., Ghodke, S., & Mukherjee, S. (2024). Bilayer Mos2 Based Memristive Crossbar Array for Neuromorphic Applications. Proceedings of the IEEE Conference on Nanotechnology. Scopus. https://doi.org/10.1109/NANO61778.2024.10628597
Abstract: Memristors offer considerable potential to further biological synapse modeling and are frequently utilized to simulate biological synapses due to their typical neuron-synapse-like metal-insulator-metal (MIM) sandwich structure. However, the memristor's poor stability and high switching voltage limit its wider application to the biological synapse mimicking. High-density and highly efficient neuromorphic computing capabilities is required for the realization of multi-functional neuromorphic computing integrated with 3D RRAM technology. Therefore, in this study, we have successfully fabricated a bilayer MoS2-based Memristive Crossbar Array (MCA) using Au/MoS2/Au configuration. This work not only exhibits non-volatile bipolar resistive switching characteristics with an impressive endurance of 240 cycles and a remarkable retention time of up to 3×104seconds, but also showed excellent operational uniformity with a coefficient of variation limited to 4.57 % and 2.52 % for RESET and SET voltages, respectively. © 2024 IEEE.
URI: https://doi.org/10.1109/NANO61778.2024.10628597
http://dspace.iiti.ac.in/handle/123456789/14801
ISBN: 979-8350386240
ISSN: 1944-9399
Type of Material: Conference paper
Appears in Collections:Centre for Advanced Electronics (CAE)
Department of Electrical Engineering

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