VVTEAM: A Compact Behavioral Model for Volatile Memristors

Fuente: arXiv
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Autores principales: Patni, Tanay, Daniels, Rishona, Kvatinsky, Shahar
Formato: Preprint
Publicado: 2024
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author Patni, Tanay
Daniels, Rishona
Kvatinsky, Shahar
author_facet Patni, Tanay
Daniels, Rishona
Kvatinsky, Shahar
contents Volatile memristors have recently gained popularity as promising devices for neuromorphic circuits, capable of mimicking the leaky function of neurons and offering advantages over capacitor-based circuits in terms of power dissipation and area. Additionally, volatile memristors are useful as selector devices and for hardware security circuits such as physical unclonable functions. To facilitate the design and simulation of circuits, a compact behavioral model is essential. This paper proposes V-VTEAM, a compact, simple, general, and flexible behavioral model for volatile memristors, inspired by the VTEAM nonvolatile memristor model and developed in MATLAB. The validity of the model is demonstrated by fitting it to an ion drift/diffusion-based Ag/SiOx/C/W volatile memristor, achieving a relative root mean error square of 4.5%.
format Preprint
id arxiv_https___arxiv_org_abs_2409_17723
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle VVTEAM: A Compact Behavioral Model for Volatile Memristors
Patni, Tanay
Daniels, Rishona
Kvatinsky, Shahar
Hardware Architecture
Emerging Technologies
Neural and Evolutionary Computing
Volatile memristors have recently gained popularity as promising devices for neuromorphic circuits, capable of mimicking the leaky function of neurons and offering advantages over capacitor-based circuits in terms of power dissipation and area. Additionally, volatile memristors are useful as selector devices and for hardware security circuits such as physical unclonable functions. To facilitate the design and simulation of circuits, a compact behavioral model is essential. This paper proposes V-VTEAM, a compact, simple, general, and flexible behavioral model for volatile memristors, inspired by the VTEAM nonvolatile memristor model and developed in MATLAB. The validity of the model is demonstrated by fitting it to an ion drift/diffusion-based Ag/SiOx/C/W volatile memristor, achieving a relative root mean error square of 4.5%.
title VVTEAM: A Compact Behavioral Model for Volatile Memristors
topic Hardware Architecture
Emerging Technologies
Neural and Evolutionary Computing
url https://arxiv.org/abs/2409.17723