Modeling and simulation of large memristive networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00534606" target="_blank" >RIV/60162694:G43__/18:00534606 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/17:PU125263
Result on the web
<a href="http://dx.doi.org/10.1002/cta.2327" target="_blank" >http://dx.doi.org/10.1002/cta.2327</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/cta.2327" target="_blank" >10.1002/cta.2327</a>

Result language
angličtina
Original language name
Modeling and simulation of large memristive networks
Original language description
The paper deals with the modeling of memristors operating in extremely large memristive networks such as crossbar structures for memory and computational circuits, memristor-based neural networks or circuits for massively parallel analog computations. Because the non-convergence and other numerical problems increase with increasing complexity of the simulated circuit, suitable models of the individual memristors need to be choicely developed and optimized. Three different models are considered, each representing a specific trade-off between speed and accuracy. Benchmark circuits for testing the applications of various complexities are used for the transient analysis in HSPICE. It is shown how the models can be modified to minimize the simulation time and improve the convergence.
Czech name
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Czech description
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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

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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