Training a multilayer dynamical spintronic network with standard machine-learning tools to perform time-series classification
Erwan Plouet, Dédalo Sanz‐Hernández, Aymeric Vecchiola, Julie Grollier, Frank Alice Mizrahi · Physical Review Applied · 2025
Networks of spintronic nano-oscillators promise to process time series in a fast and energy-efficient way. However, realizations leveraging the transient dynamics of spintronic oscillators have been limited to training-free or single-layer networks. Through numerical simulations, the authors show how to train a multilayer dynamical spintronic network using standard machine-learning tools and derive design guidelines. These results are a key step toward using deep dynamical networks in applications such as smart sensors, personal assistants, and medical devices.