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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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