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Programmable Hybrid Magnonic Waveguides for Spin-Wave Filtering and 90° Redirection.

Yifan Wang¹, Jiahui Bi¹, Nikolai Kuznetsov²

¹School of Physics and Technology, Wuhan University, Wuhan 430072, China.

|December 5, 2025

Summary

This summary is machine-generated.

We demonstrate controlling spin waves in hybrid waveguides for energy-efficient magnonic computing. This allows for programmable pathways and 90° redirection of spin waves for reconfigurable networks.

Keywords:

hybrid magnonic waveguides magnonics spin-wave redirection yttrium iron garnet

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Area of Science:

Condensed Matter Physics
Nanotechnology
Materials Science

Background:

Active control of low-loss spin-wave propagation is essential for developing energy-efficient magnonic computing devices.
Spin waves, or magnons, are collective excitations in magnetic materials that can carry information with low dissipation.

Purpose of the Study:

To demonstrate precise manipulation of spin-wave transport in hybrid waveguides for magnonic applications.
To explore the use of engineered magnetic field landscapes for programming spin-wave pathways.
To achieve efficient 90° redirection of spin waves for creating reconfigurable magnonic networks.

Main Methods:

Fabrication of hybrid waveguides consisting of continuous Yttrium Iron Garnet (YIG) films overlaid with patterned ferromagnetic metal nanostripes.
Utilizing super-Nyquist sampling magneto-optical Kerr effect (SNS-MOKE) microscopy to visualize spin-wave propagation.
Employing micromagnetic simulations to corroborate experimental observations and understand spin-wave dynamics.

Main Results:

Demonstrated field-tunable filtering, controllable splitting, and selective 90° redirection of spin waves.
Showcased the ability to program spin-wave pathways by engineering magnetic field landscapes in the YIG film.
Achieved multiple 90° spin-wave redirections with low loss in a cross-shaped waveguide network by aligning magnetization diagonally.

Conclusions:

The developed hybrid waveguide system offers a versatile and straightforward approach for active control of spin waves.
This method provides a scalable route towards compact, coherent, and reconfigurable magnonic networks.
The findings pave the way for integrated wave-based information processing using magnonics.