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Parametric Study of a V-Team Memristor Model and Building its Application in Full Adder Circuits

  • Pavan Kumar Maragani*
  • , Sravani Chatra
  • , Praveen Kumar Marasu
  • , Murali Sai Krishna Avadanam
  • , Satyajeet Sahoo
  • , Aswini K. Samantaray
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Memristors, as fundamental passive circuit elements with non-volatile characteristics, have garnered significant interest for next-generation computing and storage systems. This paper evaluates memristor parameters using two well-established models: the Linear Ion Drift Model, the earliest representation of memristive behavior, and the Versatile Memristor Model (V-TEAM), an advanced framework capable of capturing a wide range of memristor characteristics [1]. By comparing these models, we analyze IV curves and hysteresis loops under varying voltage and frequency conditions. Furthermore, leveraging the VTEAM model [2], a memristor-based full adder circuit is designed and implemented for high-density, low-power logic applications. Highlighting advantages such as reduced circuit complexity, non-volatility, and energy efficiency, the proposed design positions memristor-based logic as a promising solution for neuromorphic and resistive computing systems. The insights from this study support the advancement of memristive devices in future memory and computing technologies.

Original languageEnglish
Title of host publication2025 2nd International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331537791
DOIs
Publication statusPublished - 2025
Event2nd International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2025 - Bhubaneswar, India
Duration: 05-09-202507-09-2025

Publication series

Name2025 2nd International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2025

Conference

Conference2nd International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2025
Country/TerritoryIndia
CityBhubaneswar
Period05-09-2507-09-25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering

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