Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices
- Autores
- Ghenzi, Néstor; Quinteros, Cynthia Paula; Miranda, E.; Levy, Pablo Eduardo
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This work explores the potential of Co/HfO2/TiOx/SiO2/Si-based memristive devices for mimicking sensory systems, leveraging the electricalnociceptive properties that arise from their resistive switching characteristics. We demonstrate tunable ON/OFF threshold voltages dependingon the maximum current flowing through the device, enabling volatile and non-volatile memory states achieved using appropriatebiasing conditions. To provide deeper insight into the observed phenomenology, a compact behavioral model driven by the memristor’sinternal state control variable is proposed. The model accurately reproduces the threshold voltage variation as a function of the appliedcurrent compliance. The versatility of the proposed approach is verified as it can handle both filamentary and electron-trapping-baseddevices. Remarkably, the volatile states exhibit frequency-dependent transient responses and sensitization to previous stimulus voltages.These findings pave the way for beyond-memory applications of memristors, including the development of artificial sensory systems.
Fil: Ghenzi, Néstor. Universidad Nacional de Avellaneda. Departamento de Prod. y Trabajo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Quinteros, Cynthia Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina
Fil: Miranda, E.. Universitat Autònoma de Barcelona; España
Fil: Levy, Pablo Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
memristor
nociceptor
neuron
memory - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/267583
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Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devicesGhenzi, NéstorQuinteros, Cynthia PaulaMiranda, E.Levy, Pablo Eduardomemristornociceptorneuronmemoryhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1This work explores the potential of Co/HfO2/TiOx/SiO2/Si-based memristive devices for mimicking sensory systems, leveraging the electricalnociceptive properties that arise from their resistive switching characteristics. We demonstrate tunable ON/OFF threshold voltages dependingon the maximum current flowing through the device, enabling volatile and non-volatile memory states achieved using appropriatebiasing conditions. To provide deeper insight into the observed phenomenology, a compact behavioral model driven by the memristor’sinternal state control variable is proposed. The model accurately reproduces the threshold voltage variation as a function of the appliedcurrent compliance. The versatility of the proposed approach is verified as it can handle both filamentary and electron-trapping-baseddevices. Remarkably, the volatile states exhibit frequency-dependent transient responses and sensitization to previous stimulus voltages.These findings pave the way for beyond-memory applications of memristors, including the development of artificial sensory systems.Fil: Ghenzi, Néstor. Universidad Nacional de Avellaneda. Departamento de Prod. y Trabajo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Quinteros, Cynthia Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; ArgentinaFil: Miranda, E.. Universitat Autònoma de Barcelona; EspañaFil: Levy, Pablo Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaAmerican Institute of Physics2025-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/267583Ghenzi, Néstor; Quinteros, Cynthia Paula; Miranda, E.; Levy, Pablo Eduardo; Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices; American Institute of Physics; Journal of Applied Physics; 138; 3; 7-2025; 1-190021-8979CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.aip.org/jap/article/138/3/035102/3352905/Characterization-and-modeling-of-the-electricalinfo:eu-repo/semantics/altIdentifier/doi/10.1063/5.0274309info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:12Zoai:ri.conicet.gov.ar:11336/267583instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:12.528CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
title |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
spellingShingle |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices Ghenzi, Néstor memristor nociceptor neuron memory |
title_short |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
title_full |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
title_fullStr |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
title_full_unstemmed |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
title_sort |
Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices |
dc.creator.none.fl_str_mv |
Ghenzi, Néstor Quinteros, Cynthia Paula Miranda, E. Levy, Pablo Eduardo |
author |
Ghenzi, Néstor |
author_facet |
Ghenzi, Néstor Quinteros, Cynthia Paula Miranda, E. Levy, Pablo Eduardo |
author_role |
author |
author2 |
Quinteros, Cynthia Paula Miranda, E. Levy, Pablo Eduardo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
memristor nociceptor neuron memory |
topic |
memristor nociceptor neuron memory |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
This work explores the potential of Co/HfO2/TiOx/SiO2/Si-based memristive devices for mimicking sensory systems, leveraging the electricalnociceptive properties that arise from their resistive switching characteristics. We demonstrate tunable ON/OFF threshold voltages dependingon the maximum current flowing through the device, enabling volatile and non-volatile memory states achieved using appropriatebiasing conditions. To provide deeper insight into the observed phenomenology, a compact behavioral model driven by the memristor’sinternal state control variable is proposed. The model accurately reproduces the threshold voltage variation as a function of the appliedcurrent compliance. The versatility of the proposed approach is verified as it can handle both filamentary and electron-trapping-baseddevices. Remarkably, the volatile states exhibit frequency-dependent transient responses and sensitization to previous stimulus voltages.These findings pave the way for beyond-memory applications of memristors, including the development of artificial sensory systems. Fil: Ghenzi, Néstor. Universidad Nacional de Avellaneda. Departamento de Prod. y Trabajo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Quinteros, Cynthia Paula. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina Fil: Miranda, E.. Universitat Autònoma de Barcelona; España Fil: Levy, Pablo Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
This work explores the potential of Co/HfO2/TiOx/SiO2/Si-based memristive devices for mimicking sensory systems, leveraging the electricalnociceptive properties that arise from their resistive switching characteristics. We demonstrate tunable ON/OFF threshold voltages dependingon the maximum current flowing through the device, enabling volatile and non-volatile memory states achieved using appropriatebiasing conditions. To provide deeper insight into the observed phenomenology, a compact behavioral model driven by the memristor’sinternal state control variable is proposed. The model accurately reproduces the threshold voltage variation as a function of the appliedcurrent compliance. The versatility of the proposed approach is verified as it can handle both filamentary and electron-trapping-baseddevices. Remarkably, the volatile states exhibit frequency-dependent transient responses and sensitization to previous stimulus voltages.These findings pave the way for beyond-memory applications of memristors, including the development of artificial sensory systems. |
publishDate |
2025 |
dc.date.none.fl_str_mv |
2025-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/267583 Ghenzi, Néstor; Quinteros, Cynthia Paula; Miranda, E.; Levy, Pablo Eduardo; Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices; American Institute of Physics; Journal of Applied Physics; 138; 3; 7-2025; 1-19 0021-8979 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/267583 |
identifier_str_mv |
Ghenzi, Néstor; Quinteros, Cynthia Paula; Miranda, E.; Levy, Pablo Eduardo; Characterization and modeling of the electrical nociceptive properties of HfO2/TiOx/SiO2-based memristive devices; American Institute of Physics; Journal of Applied Physics; 138; 3; 7-2025; 1-19 0021-8979 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://pubs.aip.org/jap/article/138/3/035102/3352905/Characterization-and-modeling-of-the-electrical info:eu-repo/semantics/altIdentifier/doi/10.1063/5.0274309 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
American Institute of Physics |
publisher.none.fl_str_mv |
American Institute of Physics |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1842268842144825344 |
score |
13.13397 |