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https://dspace.iiti.ac.in/handle/123456789/14442
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DC Field | Value | Language |
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dc.contributor.advisor | Mukherjee, Shaibal | - |
dc.contributor.author | Ghodke, Shruti Sandip | - |
dc.date.accessioned | 2024-09-18T12:12:13Z | - |
dc.date.available | 2024-09-18T12:12:13Z | - |
dc.date.issued | 2024-08-27 | - |
dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/14442 | - |
dc.description.abstract | The limitations of existing complementary metal-oxide-semiconductor (CMOS) technology in terms of area and power efficiency have catalyzed advanced research into alternative nanodevices. Memristors, with their unique switching properties, offes a promising avenue for replacing traditional CMOS technology in edge computing devices. This thesis presents the design, implementation, and performance evaluation of memristor-based combinational logic circuits, including adders, subtractors, and decoders, utilizing MATLAB Simulink and Cadence Virtuoso. We proposed an optimized design for memristor-based combinational logic circuits and conducted a comparative study with conventional CMOS methods. The memristor model, experimentally validated for a high-density Y2O3-based memristive crossbar array which demonstrates ultralow device-to-device and cycle-to-cycle variability. Our findings indicate a power reduction of over 90% compared to CMOS technology implemented in Cadence Virtuoso, alongside a significant reduction in the number of components, enhancing area efficiency and facilitating the design of complex logic circuits on a micrometer scale. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Department of Electrical Engineering, IIT Indore | en_US |
dc.relation.ispartofseries | MSR060; | - |
dc.subject | Electrical Engineering | en_US |
dc.title | Memristor-based digital logic circuit design | en_US |
dc.type | Thesis_MS Research | en_US |
Appears in Collections: | Department of Electrical Engineering_ETD |
Files in This Item:
File | Description | Size | Format | |
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MSR060_Shruti_Sandip_Ghodke_2204102010.pdf | 4.09 MB | Adobe PDF | View/Open |
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