3 papers
cond-mat.dis-nn2025
Training a multilayer dynamical spintronic network with standard machine learning tools to perform time series classification
Erwan Plouet, Dédalo Sanz-Hernández, Aymeric Vecchiola +2
The ability to process time-series at low energy cost is critical for many applications. Recurrent neural network, which can perform such tasks, are computationally expensive when…
eess.SP2025
Convolutions with Radio-Frequency Spin-Diodes
Erwann Plouet, Hanuman Singh, Pankaj Sethi +3
The classification of radio-frequency (RF) signals is crucial for applications in robotics, traffic control, and medical devices. Spintronic devices, which respond to RF signals vi…
physics.app-ph2024
Real Space Imaging of Field-Driven Decision-Making in Nanomagnetic Galton Boards
Hanu Arava, Dedalo Sanz-Hernandez, Julie Grollier +1
A possible spintronic route to hardware implementation for decision making involves injecting a domain wall into a bifurcated magnetic nanostrip resembling a Y-shaped junction. A d…