Ecofriendly Printed Wood‐Based Honey‐Gated Transistors for Artificial Synapse Emulation

Wood-Based Honey-Gated Transistors In this study, Emanuel Carlos, Rodrigo Martins, and co-workers fabricated transistors printed onto wood, a biodegradable and renewable substrate that simplifies production by reducing processing steps, while creating opportunities for smart functionalities. The device combines wood with zinc oxide and honey, both environmentally friendly materials. Remarkably, the transistor demonstrated synaptic behavior, including plasticity and neural facilitation, emphasizing its potential for ecofriendly and sustainable neuromorphic systems. More details can be found in article number 2400760.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-02-01
DOI
https://doi.org/10.1002/aisy.202570006
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
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article

Ecofriendly Printed Wood‐Based Honey‐Gated Transistors for Artificial Synapse Emulation

Douglas Henrique Vieira, Neri Alves, Maíza da Silva Ozório, Emanuel Carlos et al.
1 citations
Advanced Intelligent Systems
Advanced Memory and Neural Computing
0.73
article

Ecofriendly Printed Wood‐Based Honey‐Gated Transistors for Artificial Synapse Emulation

Douglas Henrique Vieira, Neri Alves, Maíza da Silva Ozório, Emanuel Carlos, Maria Morais, Rodrigo Martins, Elvira M. C. Fortunato
article en
1 citations

Abstract

Wood-Based Honey-Gated Transistors In this study, Emanuel Carlos, Rodrigo Martins, and co-workers fabricated transistors printed onto wood, a biodegradable and renewable substrate that simplifies production by reducing processing steps, while creating opportunities for smart functionalities. The device combines wood with zinc oxide and honey, both environmentally friendly materials. Remarkably, the transistor demonstrated synaptic behavior, including plasticity and neural facilitation, emphasizing its potential for ecofriendly and sustainable neuromorphic systems. More details can be found in article number 2400760.

Advanced Intelligent SystemsVol. 7(2)
Universidade Nova de Lisboa (PT), Universidade Estadual Paulista (Unesp) (BR)
Openalex Percentile: Top 31%
Advanced Memory and Neural Computing
0.73
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