Nonlinear cross-shift terms from counterpropagating spin waves in a standing SAW cavity produce field-dependent frequency shifts that drive resonance enhancement, broadband scattering, and bistability in magnon-phonon hybrids.
An all-magnonic neuron with tunable fading memory,
4 Pith papers cite this work. Polarity classification is still indexing.
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Nonlinear magnonic neurons in YIG waveguides realize programmable threshold elements supporting cascadable circuits and seven-neuron pattern recognition of binary 'HUST' letters.
Micromagnetic simulations of dipolarly coupled bismuth-doped YIG structures show domain wall displacement in a half-ring modulating spin-wave dispersion in an adjacent waveguide for continuous ~360° phase tuning at constant amplitude.
A perspective article surveys inverse-design magnonics and proposes the term 'AI magnonics' for the convergence of machine-learning-based design tools and magnonic neuromorphic hardware.
citing papers explorer
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Nonlinear frequency shift and bistability of magnon-polarons
Nonlinear cross-shift terms from counterpropagating spin waves in a standing SAW cavity produce field-dependent frequency shifts that drive resonance enhancement, broadband scattering, and bistability in magnon-phonon hybrids.
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Integrated magnonic neural circuits based on nonlinear wave neurons
Nonlinear magnonic neurons in YIG waveguides realize programmable threshold elements supporting cascadable circuits and seven-neuron pattern recognition of binary 'HUST' letters.
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Spin-wave phase modulation using magnetic domain walls in dipolarly coupled structures for non-volatile magnonic computation
Micromagnetic simulations of dipolarly coupled bismuth-doped YIG structures show domain wall displacement in a half-ring modulating spin-wave dispersion in an adjacent waveguide for continuous ~360° phase tuning at constant amplitude.
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Perspectives on inverse design for AI magnonics
A perspective article surveys inverse-design magnonics and proposes the term 'AI magnonics' for the convergence of machine-learning-based design tools and magnonic neuromorphic hardware.