<div class="csl-bib-body">
<div class="csl-entry">Jourdana, C., Jüngel, A., & Zamponi, N. (2023). Three-species drift-diffusion models for memristors. <i>Mathematical Models and Methods in Applied Sciences</i>, <i>33</i>(10), 2113–2156. https://doi.org/10.1142/S0218202523500501</div>
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dc.identifier.issn
0218-2025
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/190373
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dc.description.abstract
A system of drift-diffusion equations for the electron, hole, and oxygen vacancy densities in a semiconductor, coupled to the Poisson equation for the electric potential, is analyzed in a bounded domain with mixed Dirichlet-Neumann boundary conditions. This system describes the dynamics of charge carriers in a memristor device. Memristors can be seen as nonlinear resistors with memory, mimicking the conductance response of biological synapses. In the fast-relaxation limit, the system reduces to a drift-diffusion system for the oxygen vacancy density and electric potential, which is often used in neuromorphic applications. The following results are proved: the global existence of weak solutions to the full system in any space dimension; the uniform-in-time boundedness of the solutions to the full system and the fast-relaxation limit in two space dimensions; the global existence and weak-strong uniqueness analysis of the reduced system. Numerical experiments in one space dimension illustrate the behavior of the solutions and reproduce hysteresis effects in the current-voltage characteristics.
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dc.language.iso
en
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dc.publisher
WORLD SCIENTIFIC PUBL CO PTE LTD
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dc.relation.ispartof
Mathematical Models and Methods in Applied Sciences
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dc.subject
bounded weak solutions
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dc.subject
Drift-diffusion equations
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dc.subject
existence analysis
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dc.subject
memristors
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dc.subject
neuromorphic computing
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dc.subject
semiconductors
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dc.subject
singular limit
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dc.subject
weak-strong uniqueness
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dc.title
Three-species drift-diffusion models for memristors