Design of k-space Magnon Dynamics by Machine Learning

György Csaba,Ádám Papp,Horváth András,Joo-Von Kim,Maryam Massouras,Abdelmadjid Anane,Massimiliano d’Aquino,Salvatore Perna,Claudio Serpico

2023 IEEE International Magnetic Conference - Short Papers (INTERMAG Short Papers)（2023）

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摘要

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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关键词

Machine learning,backpropagation,k-space computing,normal modes model,vowel classifiaction

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