Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Outros Autores: | , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10362/180486 |
Resumo: | Funding Information: The authors acknowledge Fundação de Amparo à Pesquisa do Estado deSão Paulo (FAPESP, grants 2023/06645-5, 2022/16125-6, 2022/12332-7,2023/14843-1), Coordenação de Aperfeiçoamento de Pessoal de NívelSuperior (CAPES) - Finance Code 001, and Conselho Nacional deDesenvolvimento Científico e Tecnológico (CNPq) for the financial sup-port. The authors also acknowledge Programa de Pós-Graduação emCiência e Tecnologia de Materiais (POSMAT), Instituto Nacional deEletrônica Orgânica (INEO) for technical support. The authors acknowledge the SUPERIOT project whichhad received funding from the Smart Networks and Services JointUndertaking (SNS JU) under the European Union’s Horizon Europeresearch and innovation programme under grant agreement no 101096021, including funding under the UK government’s HorizonEurope funding guarantee. This work also received funding from the HORIZON-EIC-2023-PATHFINDERCHALLENGES-01 program [grant agreement no.101161114 (ELEGANCE)] Publisher Copyright: © 2024 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH. |
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Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulationartificial synapseshoney-gated transistorsprinted electronicssustainable electronicswood substratesArtificial IntelligenceComputer Vision and Pattern RecognitionHuman-Computer InteractionMechanical EngineeringControl and Systems EngineeringElectrical and Electronic EngineeringMaterials Science (miscellaneous)SDG 7 - Affordable and Clean EnergySDG 12 - Responsible Consumption and ProductionFunding Information: The authors acknowledge Fundação de Amparo à Pesquisa do Estado deSão Paulo (FAPESP, grants 2023/06645-5, 2022/16125-6, 2022/12332-7,2023/14843-1), Coordenação de Aperfeiçoamento de Pessoal de NívelSuperior (CAPES) - Finance Code 001, and Conselho Nacional deDesenvolvimento Científico e Tecnológico (CNPq) for the financial sup-port. The authors also acknowledge Programa de Pós-Graduação emCiência e Tecnologia de Materiais (POSMAT), Instituto Nacional deEletrônica Orgânica (INEO) for technical support. The authors acknowledge the SUPERIOT project whichhad received funding from the Smart Networks and Services JointUndertaking (SNS JU) under the European Union’s Horizon Europeresearch and innovation programme under grant agreement no 101096021, including funding under the UK government’s HorizonEurope funding guarantee. This work also received funding from the HORIZON-EIC-2023-PATHFINDERCHALLENGES-01 program [grant agreement no.101161114 (ELEGANCE)] Publisher Copyright: © 2024 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH.Printed electronics have traditionally used substrates and materials derived from fuel-based or less abundant and toxic resources, raising environmental concerns. Wood as a substrate reduces processing steps and enables the integration of intelligent functionalities in wooden furniture, offering biodegradability, nontoxicity, and derivation from renewable sources. In this work, sustainably printed transistors using zinc oxide nanoparticles as the active layer and honey electrolyte on wood substrates are demonstrated as a promising approach to reduce the environmental footprint of electronics. Despite the substrate's high roughness, the transistor exhibits excellent performance for screen-printed devices, with low on-voltage of 0.32 ± 0.12 V and high Ion/Ioff of (2.4 ± 0.9) × 104. Further analysis of hysteresis in transfer curves under varying scan rates and sweep ranges reveals the device's ability to adjust memory windows and on-current. Notably, these devices successfully emulate synapses, exhibiting neural facilitation and plasticity, indicating a shift toward sustainable computing. The device's dynamic response to single and successive presynaptic pulses demonstrates its ability to adjust synaptic weight, transition from transient to persistent memory, and pulse width-, frequency-, voltage-, and number-dependent excitatory postsynaptic currents. The successful emulation of the learning–forgetting–relearning–forgetting process underscores the device's potential for use in sustainable high-performance neuromorphic systems.CENIMAT-i3N - Centro de Investigação de Materiais (Lab. Associado I3N)DCM - Departamento de Ciência dos MateriaisRUNVieira, Douglas HenriqueCarlos, EmanuelOzório, Maíza SilvaMorais, MariaFortunato, ElviraAlves, NeriMartins, Rodrigo2025-03-11T21:14:34Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/180486eng2640-4567PURE: 108131873https://doi.org/10.1002/aisy.202400760info: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:RCAAP2025-03-31T01:58:36Zoai:run.unl.pt:10362/180486Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T04:41:54.030568Repositórios 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 |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| title |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| spellingShingle |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation Vieira, Douglas Henrique artificial synapses honey-gated transistors printed electronics sustainable electronics wood substrates Artificial Intelligence Computer Vision and Pattern Recognition Human-Computer Interaction Mechanical Engineering Control and Systems Engineering Electrical and Electronic Engineering Materials Science (miscellaneous) SDG 7 - Affordable and Clean Energy SDG 12 - Responsible Consumption and Production |
| title_short |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| title_full |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| title_fullStr |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| title_full_unstemmed |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| title_sort |
Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation |
| author |
Vieira, Douglas Henrique |
| author_facet |
Vieira, Douglas Henrique Carlos, Emanuel Ozório, Maíza Silva Morais, Maria Fortunato, Elvira Alves, Neri Martins, Rodrigo |
| author_role |
author |
| author2 |
Carlos, Emanuel Ozório, Maíza Silva Morais, Maria Fortunato, Elvira Alves, Neri Martins, Rodrigo |
| author2_role |
author author author author author author |
| dc.contributor.none.fl_str_mv |
CENIMAT-i3N - Centro de Investigação de Materiais (Lab. Associado I3N) DCM - Departamento de Ciência dos Materiais RUN |
| dc.contributor.author.fl_str_mv |
Vieira, Douglas Henrique Carlos, Emanuel Ozório, Maíza Silva Morais, Maria Fortunato, Elvira Alves, Neri Martins, Rodrigo |
| dc.subject.por.fl_str_mv |
artificial synapses honey-gated transistors printed electronics sustainable electronics wood substrates Artificial Intelligence Computer Vision and Pattern Recognition Human-Computer Interaction Mechanical Engineering Control and Systems Engineering Electrical and Electronic Engineering Materials Science (miscellaneous) SDG 7 - Affordable and Clean Energy SDG 12 - Responsible Consumption and Production |
| topic |
artificial synapses honey-gated transistors printed electronics sustainable electronics wood substrates Artificial Intelligence Computer Vision and Pattern Recognition Human-Computer Interaction Mechanical Engineering Control and Systems Engineering Electrical and Electronic Engineering Materials Science (miscellaneous) SDG 7 - Affordable and Clean Energy SDG 12 - Responsible Consumption and Production |
| description |
Funding Information: The authors acknowledge Fundação de Amparo à Pesquisa do Estado deSão Paulo (FAPESP, grants 2023/06645-5, 2022/16125-6, 2022/12332-7,2023/14843-1), Coordenação de Aperfeiçoamento de Pessoal de NívelSuperior (CAPES) - Finance Code 001, and Conselho Nacional deDesenvolvimento Científico e Tecnológico (CNPq) for the financial sup-port. The authors also acknowledge Programa de Pós-Graduação emCiência e Tecnologia de Materiais (POSMAT), Instituto Nacional deEletrônica Orgânica (INEO) for technical support. The authors acknowledge the SUPERIOT project whichhad received funding from the Smart Networks and Services JointUndertaking (SNS JU) under the European Union’s Horizon Europeresearch and innovation programme under grant agreement no 101096021, including funding under the UK government’s HorizonEurope funding guarantee. This work also received funding from the HORIZON-EIC-2023-PATHFINDERCHALLENGES-01 program [grant agreement no.101161114 (ELEGANCE)] Publisher Copyright: © 2024 The Author(s). Advanced Intelligent Systems published by Wiley-VCH GmbH. |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 2024-01-01T00:00:00Z 2025-03-11T21:14:34Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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article |
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publishedVersion |
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http://hdl.handle.net/10362/180486 |
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http://hdl.handle.net/10362/180486 |
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eng |
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eng |
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2640-4567 PURE: 108131873 https://doi.org/10.1002/aisy.202400760 |
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openAccess |
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