Printing polyaniline based organic memristive devices for neuromorphic computing applications

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Authors: Silvia Battistoni, Anna N. Matsukatova, Rocco Carcione, Luciano Ferrucci, Matteo Parmeggiani, Matteo Cocuzza, Simone Luigi Marasso, Andrey V. Emelyanov, Vyacheslav A. Demin, Victor Erokhin
Cited by: 3
References: 68

Abstract

Organic electronics is recognized as a valid candidate for the emulation of brain-like functionalities, especially when the application demands to limit the power consumption. Among other technologies, memristors gained an increasing attention due to their non-volatile properties and their use as synaptic elements in artificial neural networks. Several memristive devices have been proposed, exploring different materials, working principles and deposition methods. Very recently printing memristors have been proposed for limiting the material waste, the production cost and the need of masking samples during the fabrication. Herein, a low-energy inkjet-printed organic based memristive device realized with a pure polyaniline channel is demonstrated. This type of device perfectly emulates synaptic and neuronal functions and works in low-voltage electroforming-free operational regime (

Fields of Study & Subjects

Advanced Memory and Neural Computing Neural Networks and Reservoir Computing Conducting polymers and applications

Publication details

Journal / source
Materials Today Chemistry
Publisher
Elsevier BV
Volume
53
Pages
103500–103500
Publication date
7 March 2026
Language
EN