V-VTEAM: A Compact Behavioral Model for Volatile Memristors

Tanay Patni, Rishona Daniels, Shahar Kvatinsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 MATLAB1. 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%.

Original languageEnglish
Title of host publication6th IEEE International Flexible Electronics Technology Conference, IFETC 2024 - Proceedings
ISBN (Electronic)9798331529468
DOIs
StatePublished - 2024
Event6th IEEE International Flexible Electronics Technology Conference, IFETC 2024 - Bologna, Italy
Duration: 15 Sep 202418 Sep 2024

Publication series

Name6th IEEE International Flexible Electronics Technology Conference, IFETC 2024 - Proceedings

Conference

Conference6th IEEE International Flexible Electronics Technology Conference, IFETC 2024
Country/TerritoryItaly
CityBologna
Period15/09/2418/09/24

Keywords

  • behavioral model
  • compact model
  • neuromorphic computing
  • volatile memristor

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Applied Mathematics
  • Instrumentation

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