Synaptical Tunability of Multipore Nanofluidic Memristors
Patricio Ramirez a, Sergio Portillo b, Javier Cervera b, Salvador Mafe b, Juan Bisquert c
a Polytechnic University of Valencia
b University of Valencia, Carrer Sant Lluís Beltrán, 2, Paterna, Spain
c University Jaume I, Avinguda de Vicent Sos Baynat, Castelló de la Plana, Spain
Proceedings of Neuronics Conference (Neuronics)
València, Spain, 2024 February 21st - 23rd
Organizers: Sabina Spiga and Juan Bisquert
Oral, Javier Cervera, presentation 016
Publication date: 18th December 2023

Ion-based neuromorphic devices have attracted wide interest as the basic building block of neuromorphic signal processing [1]. Here, we describe a multipore nanofluidic memristor with conical pores on a polymeric substrate that shows a wide range of ionic conduction properties, including current rectification [2]. These properties are based on the electrical interaction between the functionalized charges on the conical pore surface and the nanoconfined ionic solution [3]. The memristor shows a range of ionic conduction properties that can be controlled by the amplitude and frequency of the voltage signal, the salt type, the ionic concentration, and the solution pH. The multipore membrane allows reliable responses by maximizing current output through an ensemble of pores. Also, it does not demand difficult operational procedures because the physico-chemical signals involved here are usual in electrochemical systems and can be easily handled. This wide modulation of ionic conduction and rectification is highly desirable for implementing logic functions, memory, and transistor characteristics that are central to complex neuromorphic phenomena. Further, the chemical gating switched in current and polarity by means of the pH control provides additional functionality for chemical computation and neuromorphic applications including synaptic potentiation and depression.

P. R., S. P., J. C., and S. M. acknowledge the support from the Conselleria d'Educació, Universitats i Ocupació (Generalitat Valenciana), project CIAICO2022-247. J.B. acknowledges EUR2022-134245.

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