Design of k-space Magnon Dynamics by Machine Learning
Résumé
We demonstrate the application of machnine learning techniques to the design of magnonic neuromorphic devices. Specifically,
we show that these techniques are applicable not only to inverse-design propagating waves but to engineer the modal dynamics of
nanomagnets in such a way that these magnets solve basic classification tasks.
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