CRC 1459 C04 - Adaptive magnonic networks for nanoscale reservoir computing

Basic data for this project

Type of projectSubproject in DFG-joint project hosted at University of Münster
Duration at the University of Münster01/01/2021 - 31/12/2024 | 1st Funding period

Description

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.

Keywordsnanoscience; Adaptive solid-state nanosystems
Website of the projecthttps://www.uni-muenster.de/SFB1459/projects/
Funding identifierSFB 1459/1, C04
Funder / funding scheme
  • DFG - Collaborative Research Centre (SFB)

Project management at the University of Münster

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)

Applicants from the University of Münster

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)

Research associates from the University of Münster

Pernice, Wolfram
Center for Soft Nanoscience