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 | Workgroup ultrafast solid-state quantum optics and nanophotonics (Prof. Bratschitsch) |
Demokritov, Sergej | Professur für Angewandte Physik (Prof. Demokritov) |
Pernice, Wolfram | Professorship for Experimental Physics and Physics of Responsive Nanosystems (Prof. Pernice) |
Bratschitsch, Rudolf | Workgroup ultrafast solid-state quantum optics and nanophotonics (Prof. Bratschitsch) |
Demokritov, Sergej | Professur für Angewandte Physik (Prof. Demokritov) |
Pernice, Wolfram | Professorship for Experimental Physics and Physics of Responsive Nanosystems (Prof. Pernice) |
Pernice, Wolfram | Center for Soft Nanoscience |