Ultra-high endurance silicon photonic memory using vanadium dioxide

[EN] Silicon photonics arises as a viable solution to address the stringent resource demands of emergent technologies, such as neural networks. Within this framework, photonic memories are fundamental building blocks of photonic integrated circuits that have not yet found a standardized solution due...

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Autores: Seoane-Martínez, Juan José, Navarro-Arenas, Juan, Recaman, Maria, Koen Schouteden, Locquet, Jean-Pierre, Parra Gomez, Jorge|||0000-0003-4610-3411, Sanchis Kilders, Pablo|||0000-0003-2984-4218
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/214594
Acceso en línea:https://riunet.upv.es/handle/10251/214594
Access Level:acceso abierto
Palabra clave:Optical memory
Vanadium dioxide
Silicon photonics
TEORÍA DE LA SEÑAL Y COMUNICACIONES
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spelling Ultra-high endurance silicon photonic memory using vanadium dioxideSeoane-Martínez, Juan JoséNavarro-Arenas, JuanRecaman, MariaKoen SchoutedenLocquet, Jean-PierreParra Gomez, Jorge|||0000-0003-4610-3411Sanchis Kilders, Pablo|||0000-0003-2984-4218Optical memoryVanadium dioxideSilicon photonicsTEORÍA DE LA SEÑAL Y COMUNICACIONES[EN] Silicon photonics arises as a viable solution to address the stringent resource demands of emergent technologies, such as neural networks. Within this framework, photonic memories are fundamental building blocks of photonic integrated circuits that have not yet found a standardized solution due to several trade-offs among different metrics such as energy consumption, speed, footprint, or fabrication complexity, to name a few. In particular, a photonic memory exhibiting ultra-high endurance performance (>106¿cycles) has been elusive to date. Here, we report an ultra-high endurance silicon photonic volatile memory using vanadium dioxide (VO2) exhibiting a record cyclability of up to 107¿cycles without degradation. Moreover, our memory features an ultra-compact footprint below 5¿µm with the potential for nanosecond and picojoule programming performance. Our silicon photonic memory could find application in emerging photonic applications demanding a high number of memory updates, such as photonic neural networks with in situ training.This work was supported by funding from the European Union s Horizon Europe by the granting Authority HADEA (European Health and Digital Executive Agency) under Grant Agreement No 101070690 (PHOENIX). Grant PID2022-137787OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by "ERDF A way of making Europe", and PROMETEO Program (CIPROM/2022/14) funded by Generalitat Valenciana are also acknowledged. J.N.A acknowledges grant from University of Valencia/Ministry of Universities (Government of Spain), modality Margarita Salas (MS21-037), funded by the European Union, Next-Generation EU. J. Parra would like to acknowledge Universitat Politècnica de València for his grant 2-PAID-10-22.Nature Publishing GroupEscuela Técnica Superior de Ingeniería de TelecomunicaciónDepartamento de ComunicacionesEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialInstituto Universitario de Tecnología NanofotónicaEuropean CommissionGeneralitat ValencianaMinisterio de UniversidadesAgencia Estatal de InvestigaciónUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-09-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/214594reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-137787OB-I00 HARDWARE FOTONICO PARA INTELIGENCIA ARTIFICIALGeneralitat Valenciana https://doi.org/10.13039/501100003359 CIPROM%2F2022%2F14 NANOPHOTONIC INTEGRATED DEVICES FOR EMERGING HIGH-IMPACT APPLICATIONSUniversitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-10-22European Commission https://doi.org/10.13039/501100000780 HE 101070690 Ferroelectric PHOtonics ENablIng novel functionalities and enhanced performance of neXt generating PICsMinisterio de Universidades MIU MS21-037open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2145942026-06-13T07:49:27Z
dc.title.none.fl_str_mv Ultra-high endurance silicon photonic memory using vanadium dioxide
title Ultra-high endurance silicon photonic memory using vanadium dioxide
spellingShingle Ultra-high endurance silicon photonic memory using vanadium dioxide
Seoane-Martínez, Juan José
Optical memory
Vanadium dioxide
Silicon photonics
TEORÍA DE LA SEÑAL Y COMUNICACIONES
title_short Ultra-high endurance silicon photonic memory using vanadium dioxide
title_full Ultra-high endurance silicon photonic memory using vanadium dioxide
title_fullStr Ultra-high endurance silicon photonic memory using vanadium dioxide
title_full_unstemmed Ultra-high endurance silicon photonic memory using vanadium dioxide
title_sort Ultra-high endurance silicon photonic memory using vanadium dioxide
dc.creator.none.fl_str_mv Seoane-Martínez, Juan José
Navarro-Arenas, Juan
Recaman, Maria
Koen Schouteden
Locquet, Jean-Pierre
Parra Gomez, Jorge|||0000-0003-4610-3411
Sanchis Kilders, Pablo|||0000-0003-2984-4218
author Seoane-Martínez, Juan José
author_facet Seoane-Martínez, Juan José
Navarro-Arenas, Juan
Recaman, Maria
Koen Schouteden
Locquet, Jean-Pierre
Parra Gomez, Jorge|||0000-0003-4610-3411
Sanchis Kilders, Pablo|||0000-0003-2984-4218
author_role author
author2 Navarro-Arenas, Juan
Recaman, Maria
Koen Schouteden
Locquet, Jean-Pierre
Parra Gomez, Jorge|||0000-0003-4610-3411
Sanchis Kilders, Pablo|||0000-0003-2984-4218
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería de Telecomunicación
Departamento de Comunicaciones
Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Instituto Universitario de Tecnología Nanofotónica
European Commission
Generalitat Valenciana
Ministerio de Universidades
Agencia Estatal de Investigación
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Optical memory
Vanadium dioxide
Silicon photonics
TEORÍA DE LA SEÑAL Y COMUNICACIONES
topic Optical memory
Vanadium dioxide
Silicon photonics
TEORÍA DE LA SEÑAL Y COMUNICACIONES
description [EN] Silicon photonics arises as a viable solution to address the stringent resource demands of emergent technologies, such as neural networks. Within this framework, photonic memories are fundamental building blocks of photonic integrated circuits that have not yet found a standardized solution due to several trade-offs among different metrics such as energy consumption, speed, footprint, or fabrication complexity, to name a few. In particular, a photonic memory exhibiting ultra-high endurance performance (>106¿cycles) has been elusive to date. Here, we report an ultra-high endurance silicon photonic volatile memory using vanadium dioxide (VO2) exhibiting a record cyclability of up to 107¿cycles without degradation. Moreover, our memory features an ultra-compact footprint below 5¿µm with the potential for nanosecond and picojoule programming performance. Our silicon photonic memory could find application in emerging photonic applications demanding a high number of memory updates, such as photonic neural networks with in situ training.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-09-01
dc.type.none.fl_str_mv journal 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://riunet.upv.es/handle/10251/214594
url https://riunet.upv.es/handle/10251/214594
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 http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2022-137787OB-I00 HARDWARE FOTONICO PARA INTELIGENCIA ARTIFICIAL
Generalitat Valenciana https://doi.org/10.13039/501100003359 CIPROM%2F2022%2F14 NANOPHOTONIC INTEGRATED DEVICES FOR EMERGING HIGH-IMPACT APPLICATIONS
Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-10-22
European Commission https://doi.org/10.13039/501100000780 HE 101070690 Ferroelectric PHOtonics ENablIng novel functionalities and enhanced performance of neXt generating PICs
Ministerio de Universidades MIU MS21-037
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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