A magneto-ionic synapse for reservoir computing
Year: 2024
Type: article
Abstract: Neuromorphic computing aims to revolutionize large-scale data processing by developing efficient methods and devices inspired by neural networks. Among these, the control of magnetism through ion migration has emerged as a promising approach due to the inherent memory and nonlinearity of ionically conducting and magnetic materials. In this work, we present a lithium-ion-based magneto-ionic device that uses applied voltages to control the magnetic domain state of a perpendicularly magnetized ferromagnetic layer. This behavior emulates the analog and non-volatile properties of biological synapses and enables the creation of a simple reservoir computing system. To illustrate its capabilities, the device is used in a waveform classification task, where the voltage amplitude range and magnetic bias field are tuned to optimize the recognition accuracy.
Source: Aaltodoc (Aalto University)
Authors: Das, Sreeveni, Mansell, Rhodri, Flajšman, Lukáš, Syskaki, Maria-Andromachi, Langer, Jürgen, van Dijken, Sebastiaan
Institutions: Aalto University, Singulus (Germany)
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: European Commission, Aalto-Yliopisto
OpenAlex ID: W4405469792