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arXiv · 2412.11297

A magneto-ionic synapse for reservoir computing

Sreeveni Das·Rhodri Mansell·Lukáš Flajšman·Maria-Andromachi Syskaki·Jürgen Langer·Sebastiaan van Dijken
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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.

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Sreeveni Das, Rhodri Mansell, Lukáš Flajšman, Maria-Andromachi Syskaki, Jürgen Langer, Sebastiaan van Dijken. 2024-12-15. A magneto-ionic synapse for reservoir computing. https://arxiv.org/abs/2412.11297

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