Logic Circuit Design and Simulation of Temperature Dependent Physical Parameters Modelling Based Memristor

In this paper logic circuit designing and simulation of a memristor is accomplished by considering the temperature effect on its various characteristic parameters. Based on the experimental data on the conductivity and temperature of TiO2, a dependence of temperature and multiple parameters of the memristor, such as ON and OFF resistances, mobility, charge storing capacity, and diffusion coefficient, are calculated. Considering these variations on the ThrEshold Adaptive Memristor (TEAM) model of memristor, OR and AND gates are designed. Simulation for logic design is performed using the OrCAD EDA tool.

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Publication Details

Published
2025-06-05
DOI
https://doi.org/10.1109/eaic66483.2025.11101372
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
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Logic Circuit Design and Simulation of Temperature Dependent Physical Parameters Modelling Based Memristor

Balwinder Raj, Mamta Khosla, Mohit Kumar Saini
1 citations
Advanced Memory and Neural Computing
0.73
article

Logic Circuit Design and Simulation of Temperature Dependent Physical Parameters Modelling Based Memristor

Balwinder Raj, Mamta Khosla, Mohit Kumar Saini
article en
1 citations

Abstract

In this paper logic circuit designing and simulation of a memristor is accomplished by considering the temperature effect on its various characteristic parameters. Based on the experimental data on the conductivity and temperature of TiO2, a dependence of temperature and multiple parameters of the memristor, such as ON and OFF resistances, mobility, charge storing capacity, and diffusion coefficient, are calculated. Considering these variations on the ThrEshold Adaptive Memristor (TEAM) model of memristor, OR and AND gates are designed. Simulation for logic design is performed using the OrCAD EDA tool.

Dr. B. R. Ambedkar National Institute of Technology Jalandhar (IN)
Affordable and clean energy
Openalex Percentile: Top 25%
Advanced Memory and Neural Computing
0.73
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