(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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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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
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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