Memristors: Properties, models, materials

Olga Krestinskaya, Aidana Irmanova, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingChapter

10 Scopus citations

Abstract

The practical realization of neuro-memristive systems requires highly accurate simulation models, robust devices and validations on device characteristics. This chapter covers the basics of memristor characteristics, models and a succinct review of practically realized memristive devices. Memristors represent a class of two terminal resistive switching multi-state memory devices that can be compatible with existing integrated circuit technologies. The modeling of memristors for very large scale simulations requires to accurately capture process variations and other non-idealities from real devices for ensuring the validity of deep neural network architecture designs with memristors.
Original languageEnglish (US)
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer [email protected]
Pages13-40
Number of pages28
DOIs
StatePublished - Jan 1 2020
Externally publishedYes

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-09-23

ASJC Scopus subject areas

  • Modeling and Simulation
  • Medical Assisting and Transcription
  • Applied Mathematics

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