TY - JOUR
T1 - Ecofriendly Printed Wood-Based Honey-Gated Transistors for Artificial Synapse Emulation
AU - Vieira, Douglas Henrique
AU - Carlos, Emanuel
AU - Ozório, Maíza Silva
AU - Morais, Maria
AU - Fortunato, Elvira
AU - Alves, Neri
AU - Martins, Rodrigo
N1 - info:eu-repo/grantAgreement/FCT/Concurso para Atribuição do Estatuto e Financiamento de Laboratórios Associados (LA)/LA%2FP%2F0037%2F2020/PT#
info:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F50025%2F2020/PT#
info:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F50025%2F2020/PT#
info:eu-repo/grantAgreement/FCT//2022.13806.BD/PT#
info:eu-repo/grantAgreement/EC/H2020/101008701/EU#
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.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - artificial synapses
KW - honey-gated transistors
KW - printed electronics
KW - sustainable electronics
KW - wood substrates
UR - http://www.scopus.com/inward/record.url?scp=85210077553&partnerID=8YFLogxK
U2 - 10.1002/aisy.202400760
DO - 10.1002/aisy.202400760
M3 - Article
AN - SCOPUS:85210077553
SN - 2640-4567
JO - Advanced Intelligent Systems
JF - Advanced Intelligent Systems
ER -