Recent progress in optoelectronic memristors for neuromorphic and in-memory computation

Detalhes bibliográficos
Autor(a) principal: Pereira, Maria Elias
Data de Publicação: 2023
Outros Autores: Martins, Rodrigo, Fortunato, Elvira, Barquinha, Pedro, Kiazadeh, Asal
Tipo de documento: Outros
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10362/154942
Resumo: Funding Information: This work is funded by FEDER funds through the COMPETE 2020 Programme and National Funds through the FCT—Portuguese Foundation for Science and Technology, under the scope of the projects UIDB/50025/2020-2023, LA/P/0037/2020, doctoral Grant DFA/BD/8335/2020. TERRAMETA project has also funded this work and received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101097101. Publisher Copyright: © 2023 The Author(s). Published by IOP Publishing Ltd.
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spelling Recent progress in optoelectronic memristors for neuromorphic and in-memory computationartificial neural networks (ANNs)artificial visual systemsneuromorphic computingoptoelectronic memristors (OEMs)photonic memristorsresistive switching devicesArtificial IntelligenceHardware and ArchitectureElectrical and Electronic EngineeringElectronic, Optical and Magnetic MaterialsFunding Information: This work is funded by FEDER funds through the COMPETE 2020 Programme and National Funds through the FCT—Portuguese Foundation for Science and Technology, under the scope of the projects UIDB/50025/2020-2023, LA/P/0037/2020, doctoral Grant DFA/BD/8335/2020. TERRAMETA project has also funded this work and received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101097101. Publisher Copyright: © 2023 The Author(s). Published by IOP Publishing Ltd.Neuromorphic computing has been gaining momentum for the past decades and has been appointed as the replacer of the outworn technology in conventional computing systems. Artificial neural networks (ANNs) can be composed by memristor crossbars in hardware and perform in-memory computing and storage, in a power, cost and area efficient way. In optoelectronic memristors (OEMs), resistive switching (RS) can be controlled by both optical and electronic signals. Using light as synaptic weigh modulator provides a high-speed non-destructive method, not dependent on electrical wires, that solves crosstalk issues. In particular, in artificial visual systems, OEMs can act as the artificial retina and combine optical sensing and high-level image processing. Therefore, several efforts have been made by the scientific community into developing OEMs that can meet the demands of each specific application. In this review, the recent advances in inorganic OEMs are summarized and discussed. The engineering of the device structure provides the means to manipulate RS performance and, thus, a comprehensive analysis is performed regarding the already proposed memristor materials structure and their specific characteristics. Moreover, their potential applications in logic gates, ANNs and, in more detail, on artificial visual systems are also assessed, taking into account the figures of merit described so far.DCM - Departamento de Ciência dos MateriaisCENIMAT-i3N - Centro de Investigação de Materiais (Lab. Associado I3N)UNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNPereira, Maria EliasMartins, RodrigoFortunato, ElviraBarquinha, PedroKiazadeh, Asal2023-07-06T22:17:58Z2023-06-012023-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/other33application/pdfhttp://hdl.handle.net/10362/154942eng2634-4386PURE: 65374960https://doi.org/10.1088/2634-4386/acd4e2info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:12:42Zoai:run.unl.pt:10362/154942Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:42:57.558190Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
title Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
spellingShingle Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
Pereira, Maria Elias
artificial neural networks (ANNs)
artificial visual systems
neuromorphic computing
optoelectronic memristors (OEMs)
photonic memristors
resistive switching devices
Artificial Intelligence
Hardware and Architecture
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
title_short Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
title_full Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
title_fullStr Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
title_full_unstemmed Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
title_sort Recent progress in optoelectronic memristors for neuromorphic and in-memory computation
author Pereira, Maria Elias
author_facet Pereira, Maria Elias
Martins, Rodrigo
Fortunato, Elvira
Barquinha, Pedro
Kiazadeh, Asal
author_role author
author2 Martins, Rodrigo
Fortunato, Elvira
Barquinha, Pedro
Kiazadeh, Asal
author2_role author
author
author
author
dc.contributor.none.fl_str_mv DCM - Departamento de Ciência dos Materiais
CENIMAT-i3N - Centro de Investigação de Materiais (Lab. Associado I3N)
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Pereira, Maria Elias
Martins, Rodrigo
Fortunato, Elvira
Barquinha, Pedro
Kiazadeh, Asal
dc.subject.por.fl_str_mv artificial neural networks (ANNs)
artificial visual systems
neuromorphic computing
optoelectronic memristors (OEMs)
photonic memristors
resistive switching devices
Artificial Intelligence
Hardware and Architecture
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
topic artificial neural networks (ANNs)
artificial visual systems
neuromorphic computing
optoelectronic memristors (OEMs)
photonic memristors
resistive switching devices
Artificial Intelligence
Hardware and Architecture
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials
description Funding Information: This work is funded by FEDER funds through the COMPETE 2020 Programme and National Funds through the FCT—Portuguese Foundation for Science and Technology, under the scope of the projects UIDB/50025/2020-2023, LA/P/0037/2020, doctoral Grant DFA/BD/8335/2020. TERRAMETA project has also funded this work and received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union’s Horizon Europe research and innovation programme under Grant Agreement No 101097101. Publisher Copyright: © 2023 The Author(s). Published by IOP Publishing Ltd.
publishDate 2023
dc.date.none.fl_str_mv 2023-07-06T22:17:58Z
2023-06-01
2023-06-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/other
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/154942
url http://hdl.handle.net/10362/154942
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2634-4386
PURE: 65374960
https://doi.org/10.1088/2634-4386/acd4e2
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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