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Data-Driven Estimation of the interfacial Dzyaloshinskii-Moriya Interaction with Machine Learning
Davi Rodrigues, Andrea Meo, Ali Hasan +8
Machine learning offers powerful tools to support experimental techniques, particularly for extracting latent features from large datasets. In magnetic materials, accurately estima…
An all-magnonic neuron with tunable fading memory
David Breitbach, Moritz Bechberger, Hanadi Mortada +9
Magnonics offers nanometer-scale wave propagation and strong nonlinearities, making it attractive for neuromorphic applications such as artificial neurons. Yet, magnonic elements w…
Multi-value Probabilistic Computing with current-controlled Skyrmion Diffusion
Thomas B. Winkler, Yuean Zhou, Grischa Beneke +6
Magnetic systems are highly promising for implementing probabilistic computing paradigms because of the fitting energy scales and conspicuous non-linearities. While conventional bi…