Work

Reservoir computing with a heterogeneous distribution of ionic nanofluidic memristors

Year: 2026

Type: article

Abstract: Nanofluidic memristive systems exhibit the nonlinear behavior and the short-time plasticity needed for reservoir computing (RC) networks. They use ions as information carriers and operate in an electrochemical environment, in resemblance to the biological synapses. Here we present simulation results of an RC model implementation using a parallel array of memristive nanopores as reservoir. Each nanopore of the array is simulated under distinct chemical conditions using an experimentally justified theoretical model. We demonstrate the potential of the proposed network by performing three different RC tasks: sine wave nonlinear transformation, waveform classification, and forecasting of the Mackey–Glass chaotic time series.

Source: Neuromorphic Computing and Engineering

DOI: 10.1088/2634-4386/ae44c6

Authors: Sergio Portillo, Patricio Ramirez, Anthony Dougman Cho, Zuzanna Siwy, Salvador Mafe, Javier Cervera

Institutions: Universitat de València, Universitat Politècnica de València, University of California, Irvine, Tufts University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,835

Funders: National Science Foundation, Ministerio de Ciencia e Innovación, Agencia Nacional de Promoción Científica y Tecnológica, Division of Chemical, Bioengineering, Environmental, and Transport Systems