Adaptive magnonic networks for nanoscale reservoir 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

We plan to develop nanoscale reservoir computing devices based on adaptive magnonic networks with embedded memory functionality. Adaptive networks based on both lithographically patterned and self-assembled nanostructures will be realized, which will be controlled using ultrafast optical programming. In the mid-term, we will combine the developed controllable building blocks into ordered and disordered networks with multiple input and output terminals, allowing implementation of reservoir-computing devices at the nanoscale. In the long term, we strive to employ interconnected magnonic reservoirs for realizing adaptive surfaces responding to magnetic, electric, 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