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Spin-wave propagation in cubic anisotropy materials
Koji Sekiguchi1,2, Seo-Won Lee3, Hiroaki Sukegawa4
1Department of Physics, Keio University, Hiyoshi 3-14-1, Yokohama 223-8522, Japan.
Cubic anisotropy materials boost spin-wave signals for low-power computing. These materials enhance spin-wave amplitude, velocity, and attenuation, offering a promising path for efficient magnonic devices.
Area of Science:
- Condensed matter physics
- Materials science
- Spintronics
Background:
- Electron charge transport in modern technologies generates Joule heating.
- Spin-waves, carrying information via electron spin precession, avoid Joule heating, making them attractive for low-power computing.
- Current magnonic devices face challenges with low spin-wave signal and on/off ratios.
Purpose of the Study:
- To investigate the potential of cubic anisotropy materials for enhancing magnonic device performance.
- To explore how cubic anisotropy influences spin-wave properties like amplitude, velocity, and attenuation.
- To assess the feasibility of using cubic anisotropy materials to improve the on/off ratio in magnonic devices.
Main Methods:
- Utilized cubic anisotropy materials in magnonic device structures.
- Characterized spin-wave propagation, amplitude, group velocity, and attenuation length.
- Investigated the behavior of edge modes in relation to device functionality.
Main Results:
- Cubic anisotropy materials significantly enhance spin-wave amplitude, group velocity, and attenuation length.
- An enhanced on/off ratio was achieved through a laterally localized edge mode, mimicking field-effect transistor channels.
- Demonstrated improved signal characteristics crucial for practical magnonic device implementation.
Conclusions:
- Cubic anisotropy materials offer a viable solution to overcome limitations in current magnonic devices.
- These materials provide enhanced spin-wave signals and on/off ratios, paving the way for efficient wave-based functional devices.
- The findings are expected to stimulate further research and development in magnonics for low-power computing applications.
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