Micromagnetic simulations show that moving domain walls in a Permalloy racetrack above YIG can shift the phase of Damon-Eshbach spin waves by up to ±90 degrees via stray-field-induced wavelength changes.
Nanoscale neural network using non-linear spin-wave interference
2 Pith papers cite this work. Polarity classification is still indexing.
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Spin wave-based physical reservoir computing achieves 85.8% speaker classification accuracy without cochleagram preprocessing.
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Spin-Wave Phase Shifter Controlled by a Domain Wall Racetrack
Micromagnetic simulations show that moving domain walls in a Permalloy racetrack above YIG can shift the phase of Damon-Eshbach spin waves by up to ±90 degrees via stray-field-induced wavelength changes.
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Spoken Digit Recognition and Speaker Classification by Nonlinear Interfered Spin Wave-Based Physical Reservoir Computing
Spin wave-based physical reservoir computing achieves 85.8% speaker classification accuracy without cochleagram preprocessing.