Magnonics: From Storage to Data Processing

This lecture introduces the concept of magnonics, focusing on the transition from magnetic storage to magnon-based data processing. It covers topics such as magnon excitation, wave-based logic for energy-efficient computation, and challenges in materials and interface integration. The controversy between analog and Boolean processing with magnons is discussed, along with the potential of spin waves for computing. The electromagnetic spectrum is compared to magnons, highlighting the different wavelengths and frequencies involved. Additionally, the lecture explores transduction methods from microwaves to magnons and the use of ferromagnets in signal processing. Various technologies and research papers in the field are referenced throughout the presentation.