SPICE modeling of cycle-to-cycle variability in RRAM devices

In this work, we investigated how to include uncorrelated cycle-to-cycle (C2C) variability in the LTSpice quasi-static memdiode model for RRAM devices. Variability in the I-V curves is first addressed through an in-depth study of the experimental data using the fitdistrplus package for the R languag...

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Autores: Salvador Aguilera, Emili|||0000-0002-1613-6784, Bargallo Gonzalez, Mireia|||0000-0001-6792-4556, Campabadal, Francesca|||0000-0001-7758-4567, Martin Martinez, Javier|||0000-0001-5938-5898, Rodríguez Martínez, Rosana|||0000-0002-4565-6703, Miranda, E.|||0000-0003-0470-5318
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:249236
Acceso en línea:https://ddd.uab.cat/record/249236
https://dx.doi.org/urn:doi:10.1016/j.sse.2021.108040
Access Level:acceso abierto
Palabra clave:RRAM
Variability
Modeling
LTSpice
Fitdistrplus
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repository_id_str
spelling SPICE modeling of cycle-to-cycle variability in RRAM devicesSalvador Aguilera, Emili|||0000-0002-1613-6784Bargallo Gonzalez, Mireia|||0000-0001-6792-4556Campabadal, Francesca|||0000-0001-7758-4567Martin Martinez, Javier|||0000-0001-5938-5898Rodríguez Martínez, Rosana|||0000-0002-4565-6703Miranda, E.|||0000-0003-0470-5318RRAMVariabilityModelingLTSpiceFitdistrplusIn this work, we investigated how to include uncorrelated cycle-to-cycle (C2C) variability in the LTSpice quasi-static memdiode model for RRAM devices. Variability in the I-V curves is first addressed through an in-depth study of the experimental data using the fitdistrplus package for the R language. This provides a first approximation to the identification of the most suitable model parameter distributions. Next, the selected candidate distributions are incorporated into the model script and used for carrying out Monte Carlo simulations. Finally, the experimental and simulated observables (set and reset currents, transition voltages, etc.) are statistically compared and the model estimands recalculated if it is necessary. Here, we put special emphasis on describing the main difficulties behind this seemingly simple procedure. 22021-01-0120212021-01-01Articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://ddd.uab.cat/record/249236https://dx.doi.org/urn:doi:10.1016/j.sse.2021.108040reponame:Dipòsit Digital de Documents de la UABinstname:Universitat Autònoma de BarcelonaInglésengAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2019-103869RB-C32Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 TEC2017-84321-C4-1-RAgencia Estatal de Investigación https://doi.org/10.13039/501100011033 TEC2017-84321-C4-4-Ropen accesshttp://purl.org/coar/access_right/c_abf2Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ddd.uab.cat:2492362026-06-06T12:50:31Z
dc.title.none.fl_str_mv SPICE modeling of cycle-to-cycle variability in RRAM devices
title SPICE modeling of cycle-to-cycle variability in RRAM devices
spellingShingle SPICE modeling of cycle-to-cycle variability in RRAM devices
Salvador Aguilera, Emili|||0000-0002-1613-6784
RRAM
Variability
Modeling
LTSpice
Fitdistrplus
title_short SPICE modeling of cycle-to-cycle variability in RRAM devices
title_full SPICE modeling of cycle-to-cycle variability in RRAM devices
title_fullStr SPICE modeling of cycle-to-cycle variability in RRAM devices
title_full_unstemmed SPICE modeling of cycle-to-cycle variability in RRAM devices
title_sort SPICE modeling of cycle-to-cycle variability in RRAM devices
dc.creator.none.fl_str_mv Salvador Aguilera, Emili|||0000-0002-1613-6784
Bargallo Gonzalez, Mireia|||0000-0001-6792-4556
Campabadal, Francesca|||0000-0001-7758-4567
Martin Martinez, Javier|||0000-0001-5938-5898
Rodríguez Martínez, Rosana|||0000-0002-4565-6703
Miranda, E.|||0000-0003-0470-5318
author Salvador Aguilera, Emili|||0000-0002-1613-6784
author_facet Salvador Aguilera, Emili|||0000-0002-1613-6784
Bargallo Gonzalez, Mireia|||0000-0001-6792-4556
Campabadal, Francesca|||0000-0001-7758-4567
Martin Martinez, Javier|||0000-0001-5938-5898
Rodríguez Martínez, Rosana|||0000-0002-4565-6703
Miranda, E.|||0000-0003-0470-5318
author_role author
author2 Bargallo Gonzalez, Mireia|||0000-0001-6792-4556
Campabadal, Francesca|||0000-0001-7758-4567
Martin Martinez, Javier|||0000-0001-5938-5898
Rodríguez Martínez, Rosana|||0000-0002-4565-6703
Miranda, E.|||0000-0003-0470-5318
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv RRAM
Variability
Modeling
LTSpice
Fitdistrplus
topic RRAM
Variability
Modeling
LTSpice
Fitdistrplus
description In this work, we investigated how to include uncorrelated cycle-to-cycle (C2C) variability in the LTSpice quasi-static memdiode model for RRAM devices. Variability in the I-V curves is first addressed through an in-depth study of the experimental data using the fitdistrplus package for the R language. This provides a first approximation to the identification of the most suitable model parameter distributions. Next, the selected candidate distributions are incorporated into the model script and used for carrying out Monte Carlo simulations. Finally, the experimental and simulated observables (set and reset currents, transition voltages, etc.) are statistically compared and the model estimands recalculated if it is necessary. Here, we put special emphasis on describing the main difficulties behind this seemingly simple procedure.
publishDate 2021
dc.date.none.fl_str_mv 2
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv Article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://ddd.uab.cat/record/249236
https://dx.doi.org/urn:doi:10.1016/j.sse.2021.108040
url https://ddd.uab.cat/record/249236
https://dx.doi.org/urn:doi:10.1016/j.sse.2021.108040
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 PID2019-103869RB-C32
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 TEC2017-84321-C4-1-R
Agencia Estatal de Investigación https://doi.org/10.13039/501100011033 TEC2017-84321-C4-4-R
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Dipòsit Digital de Documents de la UAB
instname:Universitat Autònoma de Barcelona
instname_str Universitat Autònoma de Barcelona
reponame_str Dipòsit Digital de Documents de la UAB
collection Dipòsit Digital de Documents de la UAB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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