Deeply nonlinear excitation of self-normalized short spin waves

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Wang, Qi
Verba, Roman
Heinz, Björn
Schneider, Michael
Wojewoda, Ondřej
Davídková, Kristýna
Levchenko, Khrystyna
Dubs, Carsten
Mauser, Norbert J.J.
Urbánek, Michal

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Mark

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AMER ASSOC ADVANCEMENT SCIENCE
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Abstract

Spin waves are ideal candidates for wave-based computing, but the construction of magnetic circuits is blocked by a lack of an efficient mechanism to excite long-running exchange spin waves with normalized amplitudes. Here, we solve the challenge by exploiting a deeply nonlinear phenomenon for forward volume spin waves in 200-nm-wide nanoscale waveguides and validate our concept using microfocused Brillouin light scattering spectroscopy. An unprecedented nonlinear frequency shift of more than 2 GHz is achieved, corresponding to a magnetization precession angle of 55 & DEG; and enabling the excitation of spin waves with wavelengths down to 200 nm. The amplitude of the excited spin waves is constant and independent of the input microwave power due to the self-locking nonlinear shift, enabling robust adjustment of the spin-wave amplitudes in future on-chip magnonic integrated circuits.
Spin waves are ideal candidates for wave-based computing, but the construction of magnetic circuits is blocked by a lack of an efficient mechanism to excite long-running exchange spin waves with normalized amplitudes. Here, we solve the challenge by exploiting a deeply nonlinear phenomenon for forward volume spin waves in 200-nm-wide nanoscale waveguides and validate our concept using microfocused Brillouin light scattering spectroscopy. An unprecedented nonlinear frequency shift of more than 2 GHz is achieved, corresponding to a magnetization precession angle of 55 & DEG; and enabling the excitation of spin waves with wavelengths down to 200 nm. The amplitude of the excited spin waves is constant and independent of the input microwave power due to the self-locking nonlinear shift, enabling robust adjustment of the spin-wave amplitudes in future on-chip magnonic integrated circuits.

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Science Advances. 2023, vol. 9, issue 32, 9 p.
https://www.science.org/doi/10.1126/sciadv.adg4609

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Peer-reviewed

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en

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Except where otherwised noted, this item's license is described as Creative Commons Attribution-NonCommercial 4.0 International
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