Melanin/PEDOT:PSS organic synaptic transistors: a step towards sustainable neuromorphic applications

Abstract Inspired by the functioning of the human brain, organic synaptic transistors represent a promising avenue for developing neuromorphic technologies. However, achieving sustainability while maintaining performance and functionality remains a critical challenge. Here, we report on an innovative strategy where synthetic melanin (Mel)—a natural pigment known for its improved ionic–electronic coupling, high volumetric capacitance, and environmentally friendly characteristics—is blended with benchmark poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) to fabricate synaptic transistors. Mel/PEDOT:PSS blends having different amounts of Mel have been systematically evaluated as semiconducting layer in organic electrochemical transistors. Our findings reveal that Mel incorporation at different concentrations enables tunable synaptic responses, such as enhanced memory retention and access to multiple memory states. These effects arise from the unique properties of Mel which modulate the charge density of PEDOT:PSS in a controlled manner. This approach demonstrates the potential for developing highly stable, multi-level memory materials for organic neuromorphic devices while addressing sustainability goals. We believe our strategy can open new avenues via the integration of natural and bio-inspired materials into organic semiconductors towards the development of sustainable neuromorphic technologies.

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Publication Details

Journal
Neuromorphic Computing and Engineering
Published
2025-03-01
DOI
https://doi.org/10.1088/2634-4386/adbccd
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73

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article

Melanin/PEDOT:PSS organic synaptic transistors: a step towards sustainable neuromorphic applications

Nayrim Brizuela Guerra, Natan Luis Nozella, Marcelo Rizzo Piton, Carlos F. O. Graeff et al.
1 citations
Neuromorphic Computing and Engineering
Advanced Memory and Neural Computing
0.73
article

Melanin/PEDOT:PSS organic synaptic transistors: a step towards sustainable neuromorphic applications

Nayrim Brizuela Guerra, Natan Luis Nozella, Marcelo Rizzo Piton, Carlos F. O. Graeff, Rafael Furlan de Oliveira, Guilherme S. Selmi
article en
1 citations

Abstract

Abstract Inspired by the functioning of the human brain, organic synaptic transistors represent a promising avenue for developing neuromorphic technologies. However, achieving sustainability while maintaining performance and functionality remains a critical challenge. Here, we report on an innovative strategy where synthetic melanin (Mel)—a natural pigment known for its improved ionic–electronic coupling, high volumetric capacitance, and environmentally friendly characteristics—is blended with benchmark poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) to fabricate synaptic transistors. Mel/PEDOT:PSS blends having different amounts of Mel have been systematically evaluated as semiconducting layer in organic electrochemical transistors. Our findings reveal that Mel incorporation at different concentrations enables tunable synaptic responses, such as enhanced memory retention and access to multiple memory states. These effects arise from the unique properties of Mel which modulate the charge density of PEDOT:PSS in a controlled manner. This approach demonstrates the potential for developing highly stable, multi-level memory materials for organic neuromorphic devices while addressing sustainability goals. We believe our strategy can open new avenues via the integration of natural and bio-inspired materials into organic semiconductors towards the development of sustainable neuromorphic technologies.

Neuromorphic Computing and EngineeringVol. 5(1)
Universidade Estadual de Campinas (UNICAMP) (BR), Brazilian Center for Research in Energy and Materials (BR), Universidade Estadual Paulista (Unesp) (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 31%
Advanced Memory and Neural Computing
0.73
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