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Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories

A methodology to estimate the device temperature in resistive random access memories (RRAMs) is presented. Unipolar devices, which are known to be highly influenced by thermal effects in their resistive switching operation, are employed to develop the technique. A 3D RRAM simulator is used to fit ex...

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Autores principales: Aguilera-Pedregosa, Cristina, Maldonado, David, González, Mireia B., Moreno, Enrique, Jiménez-Molinos, Francisco, Campabadal, Francesca, Roldán, Juan B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057622/
https://www.ncbi.nlm.nih.gov/pubmed/36985037
http://dx.doi.org/10.3390/mi14030630
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author Aguilera-Pedregosa, Cristina
Maldonado, David
González, Mireia B.
Moreno, Enrique
Jiménez-Molinos, Francisco
Campabadal, Francesca
Roldán, Juan B.
author_facet Aguilera-Pedregosa, Cristina
Maldonado, David
González, Mireia B.
Moreno, Enrique
Jiménez-Molinos, Francisco
Campabadal, Francesca
Roldán, Juan B.
author_sort Aguilera-Pedregosa, Cristina
collection PubMed
description A methodology to estimate the device temperature in resistive random access memories (RRAMs) is presented. Unipolar devices, which are known to be highly influenced by thermal effects in their resistive switching operation, are employed to develop the technique. A 3D RRAM simulator is used to fit experimental data and obtain the maximum and average temperatures of the conductive filaments (CFs) that are responsible for the switching behavior. It is found that the experimental CFs temperature corresponds to the maximum simulated temperatures obtained at the narrowest sections of the CFs. These temperature values can be used to improve compact models for circuit simulation purposes.
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spelling pubmed-100576222023-03-30 Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories Aguilera-Pedregosa, Cristina Maldonado, David González, Mireia B. Moreno, Enrique Jiménez-Molinos, Francisco Campabadal, Francesca Roldán, Juan B. Micromachines (Basel) Article A methodology to estimate the device temperature in resistive random access memories (RRAMs) is presented. Unipolar devices, which are known to be highly influenced by thermal effects in their resistive switching operation, are employed to develop the technique. A 3D RRAM simulator is used to fit experimental data and obtain the maximum and average temperatures of the conductive filaments (CFs) that are responsible for the switching behavior. It is found that the experimental CFs temperature corresponds to the maximum simulated temperatures obtained at the narrowest sections of the CFs. These temperature values can be used to improve compact models for circuit simulation purposes. MDPI 2023-03-10 /pmc/articles/PMC10057622/ /pubmed/36985037 http://dx.doi.org/10.3390/mi14030630 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Aguilera-Pedregosa, Cristina
Maldonado, David
González, Mireia B.
Moreno, Enrique
Jiménez-Molinos, Francisco
Campabadal, Francesca
Roldán, Juan B.
Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories
title Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories
title_full Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories
title_fullStr Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories
title_full_unstemmed Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories
title_short Thermal Characterization of Conductive Filaments in Unipolar Resistive Memories
title_sort thermal characterization of conductive filaments in unipolar resistive memories
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057622/
https://www.ncbi.nlm.nih.gov/pubmed/36985037
http://dx.doi.org/10.3390/mi14030630
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