<div class="csl-bib-body">
<div class="csl-entry">Nguyen, T. T. (2024, April 9). <i>Drift-Diffusion for Memristors Coupled to a Network</i> [Poster Presentation]. Conference Aggregation-Diffusion Equations & Collective Behavior: Analysis, Numerics and Applications 2024, Marseille, France.</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/199187
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dc.description.abstract
The memristor is a novel semiconductor device equipped with a memory due to the change of its electrical resistance. In this way, it may mimic the behavior of a synapse in the human brain. We analyze a model of memristors that are coupled with an electric network consisting of various electronic devices. While nonlinear drift-diffusion equations describe the motion of charged particles within the memristor, the node potentials in the network follow Kirchhoff’s laws, i.e. ordinary differential equations and algebraic constraints. The coupling between them results in a system of partial differential-algebraic equations. The existence analysis employs entropy methods crucially.
en
dc.language.iso
en
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dc.subject
drift-diffusion equations
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dc.subject
partial differential-algebraic equations
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dc.subject
semiconductors
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dc.title
Drift-Diffusion for Memristors Coupled to a Network
