Revolution in information processing: New method for spin waveguides!
Researchers at the University of Münster are working with Heidelberg to develop a method for producing energy-efficient spin waveguides for AI hardware.

Revolution in information processing: New method for spin waveguides!
A team from the universities of Münster and Heidelberg has developed a groundbreaking method for producing spin waveguides. Under the direction of physicist Prof. Dr. Rudolf Bratschitsch, the project aims to find energy-saving solutions for the increasingly required AI hardware. The dynamic increase in energy demand represents a significant challenge that should be overcome through innovative technologies. The team relies on the use of spin waves for information processing, which are known for their lower energy requirements and enable promising approaches to data processing.
The latest development includes the largest network of spin waveguides created to date, comprising an impressive 198 crossings. The properties of these spin waves, such as wavelength and reflection, can be precisely controlled, which could represent significant advances in research. Spin waves are generated by applying alternating current to magnetic materials, using yttrium iron garnet (YIG) as the primary material. This material is particularly suitable due to its low attenuation and enables effective data transmission.
Technological advantages of yttrium iron garnet
YIG has established itself as a key component in the development of new storage and information technologies. Physicists at the Martin Luther University Halle-Wittenberg have developed a process to transfer YIG to a wide variety of materials. This could revolutionize the production of faster and more energy-efficient data storage and information processing components. Previously, the production of YIG was limited to specific substrates, but the new method allows the fabrication of bridge-like structures that can then be transferred to other materials.
The results of this study were published in the journal “Angewandte Physik Briefe” and show that good results can be achieved even at low temperatures, which is important for applications in quantum magnonics. The possibility of bonding YIG plates to silicon, one of the most common semiconductors in electronics, also opens up new horizons for hybrid devices in which spin waves are coupled with electrical waves or mechanical vibrations.
The future of magnon spintronics
Magnics as a scientific field is increasingly concerned with the transport and processing of information through spin waves. The term “magnon” describes the quantum of the spin wave associated with the flip of a single spin. Magnon spintronics research investigates how magnon-based data buses and processing elements can be developed to efficiently handle both analog and digital information.
YIG not only serves as an excellent magnetic insulator, but also as a key to energy-efficient technologies, as it enables the joule-energy-free transmission and processing of spin information. Developments in this area promise a new form of information processing that could significantly reduce energy consumption in the future.
The team's successes in Münster and Heidelberg, together with the innovative approaches at the Martin Luther University Halle-Wittenberg, signal a paradigm shift in materials science and information processing. These advances could lay the foundation for the next generation of AI hardware that is not only powerful but also sustainable.
The research was funded by the German Research Foundation as part of the Collaborative Research Center 1459 “Intelligent Matter”. The study that forms the basis of these developments was published in the renowned journal “Nature Materials”. This highlights the significant advances and potential that lie in the in-depth study and application of spin waves.