Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14203
Title: Numerical Modelling of WO3-Based Memristive System for Neuromorphic Computation
Authors: Kumar, Sanjay
Agrawal, Rajan
Kumar, Pawan
Mukherjee, Shaibal
Keywords: Modeling;Neuromorphic computing;WO3
Issue Date: 2024
Publisher: Springer Science and Business Media Deutschland GmbH
Citation: Kumar, S., Agrawal, R., Kumar, P., & Mukherjee, S. (2024). Numerical Modelling of WO3-Based Memristive System for Neuromorphic Computation. Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-1571-8_45
Abstract: Here, we report a detailed numerical model for a WO3-based memristive system by implementing a new parabolic window function in modified current–voltage (I-V) equation. The proposed model effectively depicts the ideal resistive switching pinched hysteresis loop in I-V characteristics with neuromorphic computing response in terms of potentiation and depression processes. Moreover, the modified I-V relationship is also able to capture the asymmetric resistive switching response in addition to the symmetric nature of the hysteresis loop in the I-V characteristics for both positive and negative voltage cycles. The DC analysis of the memristive device via numerical model is also followed the exact experimental behavior as reported in (Chang et al. in Appl Phys A 102:857–863, 2011 [6]). © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
URI: https://doi.org/10.1007/978-981-97-1571-8_45
https://dspace.iiti.ac.in/handle/123456789/14203
ISBN: 978-9819715701
ISSN: 0930-8989
Type of Material: Conference Paper
Appears in Collections:Department of Electrical Engineering

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