Adaptive magnonic networks for advanced nanoscale computing (C04)

• Subject Area: Experimental Condensed Matter Physics ; Optics, Quantum Optics and Physics of Atoms, Molecules and Plasmas
• Term: since 2021
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 433682494

The objective of this project is to develop interconnected, easy-to-train intelligent magnonic networks with embedded memory for nanoscale signal processing and computing, as well as functional elements of intelligent systems allowing brain-inspired computing. We have gained extensive knowledge about the propagation of spin waves in nanoscale magnetic waveguides, demonstrated new approaches for the implementation of memory, and developed efficient methods for the fabrication of nanoscale magnonic devices and networks based on ion implantation. In the second funding period, we will implement complex nanomagnonic networks that demonstrate intelligent responses to electrical, magnetic, and optical stimuli.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1459: Intelligent Matter – From responsive to adaptive nanosystems
• Applicant Institution: Universität Münster
• Project Heads: Professor Dr. Rudolf Bratschitsch; Professor Sergej O. Demokritov, Ph.D.; Professor Dr. Wolfram Hans Peter Pernice, until 12/2024