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(V)TEAM for SPICE Simulation of Memristive Devices With Improved Numerical Performance

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU139994" target="_blank" >RIV/00216305:26220/21:PU139994 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G43__/21:00556769

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/9354151" target="_blank" >https://ieeexplore.ieee.org/document/9354151</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ACCESS.2021.3059241" target="_blank" >10.1109/ACCESS.2021.3059241</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    (V)TEAM for SPICE Simulation of Memristive Devices With Improved Numerical Performance

  • Original language description

    The paper introduces a set of models of memristive devices for a reliable, accurate and fast analysis of large networks in the SPICE (Simulation Program with Integrated Circuit Emphasis) environment. The modeling starts from the recently introduced TEAM (ThrEshold Adaptive Memristor Model) and VTEAM (Voltage ThrEshold Adaptive Memristor Model). A number of improvements are made towards the stick effect elimination and other numerical renements to make the analysis of large networks fast and accurate. A set of models are proposed that utilize the synergy of several techniques such as window asymmetrization, integration with saturation, state equation preprocessing, scaling, and smoothing. The performance of models is tested in Cadence PSPICE 17.2 and particularly in HSPICE v2017, the latter on a large-scale CNN (Cellular Nonlinear Network) for detecting edges of binary images. The simulations manifest the usability of developed models for fast and reliable operation in networks containing more than one million nodes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

    <a href="/en/project/GA20-26849S" target="_blank" >GA20-26849S: New algorithms for accurate, efficient and robust analysis of large-scale systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Access

  • ISSN

    2169-3536

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    30242-30255

  • UT code for WoS article

    000622080900001

  • EID of the result in the Scopus database

    2-s2.0-85101487124