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Cited by 10Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesElectrical and Thermal Properties of Materials

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Emulator Circuits and Resistive Switching Parameters of Memristor

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Yesil, Abdullah, Gül, Fatih, Babacan, Yunus·2018·Memristor and Memristive Neural Networks
DOI 10.5772/intechopen.71903
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Abstract

Chua predicted the existence of the fundamental circuit element, which provides the linkage of flux (ϕ) and charge (q). The new circuit element that is called memristor (memory + resistor) was demonstrated by Hewlett Packard (HP) researchers in 2008. Researchers focused on memristor fabrication, modeling, and its application with other circuit elements. Researchers could not find the commercially memristor devices in the market because of some fabrication difficulties. For this reason, researchers focused on the memristor modeling to analyze its characteristics with other circuit elements. This chapter presents a review of the general information of memristor and its device parameters. The chapter is continued with the details of memristor mathematical and SPICE models and memristor emulators based on the other circuit elements.

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Research works printed but not linked: 41

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Metadata

Authors
Yesil, A., Gül, F., & Babacan, Y.
Affiliations
Erzincan Binali Yıldırım University (TR)
Corresponding author
Babacan, Yunus
ORCID
Venue
Memristor and Memristive Neural Networks
Publisher
InTech
Published
2018-04-04
DOI
10.5772/intechopen.71903
OpenAlex
W2795463944
Cited by
10
References
9
Citations by year
2026: 1 · 2024: 2 · 2023: 1 · 2021: 1 · 2020: 1 · 2019: 3 · 2018: 1
FWCI
4.98
Type
book chapter
Language
en
Open access
Licence
Locations
  • InTech eBooks (publishedVersion, cc-by)
  • BiblioBoard Library Catalog (Open Research Library) (submittedVersion, cc-by)
  • Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech) (submittedVersion, cc-by)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Ferroelectric and Negative Capacitance Devices
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical and Thermal Properties of Materials
Keywords
memristors, resistive switching, memristor modeling, SPICE model, mathematical model

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