Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/14203
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKumar, Sanjayen_US
dc.contributor.authorAgrawal, Rajanen_US
dc.contributor.authorKumar, Pawanen_US
dc.contributor.authorMukherjee, Shaibalen_US
dc.date.accessioned2024-08-14T10:23:43Z-
dc.date.available2024-08-14T10:23:43Z-
dc.date.issued2024-
dc.identifier.citationKumar, 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_45en_US
dc.identifier.isbn978-9819715701-
dc.identifier.issn0930-8989-
dc.identifier.otherEID(2-s2.0-85197372991)-
dc.identifier.urihttps://doi.org/10.1007/978-981-97-1571-8_45-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/14203-
dc.description.abstractHere, 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.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceSpringer Proceedings in Physicsen_US
dc.subjectModelingen_US
dc.subjectNeuromorphic computingen_US
dc.subjectWO3en_US
dc.titleNumerical Modelling of WO3-Based Memristive System for Neuromorphic Computationen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetric Badge: