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.
| Bratschitsch, Rudolf | |
| Demokritov, Sergej | |
| Pernice, Wolfram |
| Bratschitsch, Rudolf | |
| Demokritov, Sergej | |
| Pernice, Wolfram |
| Pernice, Wolfram |
Duration: 01/01/2025 - 31/12/2028 | 2nd Funding period Funded by: DFG - Collaborative Research Centre Type of project: Subproject in DFG-joint project hosted at University of Münster |
Duration: 01/01/2021 - 31/12/2024 | 1st Funding period Funded by: DFG - Collaborative Research Centre Type of project: Main DFG-project hosted at University of Münster |