1. A magneto-ionic synapse for reservoir computing
- Author
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Das, Sreeveni, Mansell, Rhodri, Flajšman, Lukáš, Syskaki, Maria-Andromachi, Langer, Jürgen, and van Dijken, Sebastiaan
- Subjects
Physics - Applied Physics - 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., Comment: 11 pages, 7 figures
- Published
- 2024