Circuit-Level Model of the Memristor Based on Piecewise Linear Functions Derived From Experimental Electrical Characteristics

Designing devices with memristor arrays requires simultaneous simulations of a large number of memristors. The use of detailed physical models limits the size of memristor arrays during simulations due to the large amount of computation. Therefore, it is necessary to use more simplified circuit models to simulate such arrays. For this purpose, a compact circuit-level model of a bipolar memristor based on tabular 2-D piecewise linear (PWL) functions of two variables in equations for current and state parameter change has been developed. Unlike existing models, the equation for electric current is specified in the form of a tabular function with a large number of linear sections. A method for restoring these tabular functions from experimental data has been proposed. It is shown quantitatively that the designed model reproduces the current–voltage characteristics of bipolar memristors made of various materials much more accurately than known models. Simulations using tabular functions are computationally faster compared to known memristor models. Thus, the developed model allows implementing a generalized approach to construct computationally efficient memristor models instead of selecting unique approximating functions for specific material combinations.

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Institutions

Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2025-06-27
DOI
https://doi.org/10.1109/ted.2025.3582217
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

Circuit-Level Model of the Memristor Based on Piecewise Linear Functions Derived From Experimental Electrical Characteristics

Alexander N. Busygin, S. Yu. Udovichenko, Oleg Maevsky, Abdulla Ebrahim et al.
1 citations
IEEE Transactions on Electron Devices
Advanced Memory and Neural Computing
0.73
article

Circuit-Level Model of the Memristor Based on Piecewise Linear Functions Derived From Experimental Electrical Characteristics

Alexander N. Busygin, S. Yu. Udovichenko, Oleg Maevsky, Abdulla Ebrahim, Alexander A. Neustroev
article en
1 citations

Abstract

Designing devices with memristor arrays requires simultaneous simulations of a large number of memristors. The use of detailed physical models limits the size of memristor arrays during simulations due to the large amount of computation. Therefore, it is necessary to use more simplified circuit models to simulate such arrays. For this purpose, a compact circuit-level model of a bipolar memristor based on tabular 2-D piecewise linear (PWL) functions of two variables in equations for current and state parameter change has been developed. Unlike existing models, the equation for electric current is specified in the form of a tabular function with a large number of linear sections. A method for restoring these tabular functions from experimental data has been proposed. It is shown quantitatively that the designed model reproduces the current–voltage characteristics of bipolar memristors made of various materials much more accurately than known models. Simulations using tabular functions are computationally faster compared to known memristor models. Thus, the developed model allows implementing a generalized approach to construct computationally efficient memristor models instead of selecting unique approximating functions for specific material combinations.

IEEE Transactions on Electron DevicesVol. 72(8)
University of Tyumen (RU)
Russian Science Foundation
Affordable and clean energy
Openalex Percentile: Top 27%
Advanced Memory and Neural Computing
0.73
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