SKM 2023 – wissenschaftliches Programm
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
MA: Fachverband Magnetismus
MA 23: Poster Magnetism I
MA 23.44: Poster
Dienstag, 28. März 2023, 17:00–19:00, P1
Modulated spin-wave system for neuromorphic machine learning — •Jan Maskill, David Breitbach, Milan Ender, Burkard Hillebrands, and Philipp Pirro — Landesforschungszentrum OPTIMAS und Rheinland Pfälzische Technische Universität
In this work, a prototype physical reservoir based on spin-wave dynamics is developed and investigated numerically by micromagnetic simulations. The system under study is a nanometer-sized magnonic waveguide, on top of which a coplanar waveguide (CPW) antenna is placed for spin-wave excitation, as well as a localized region for spin current injection. The inputs of the reservoir are spin current pulses injected via the spin Hall effect, which modulates the amplitude of a carrier spin-wave created by the CPW. The carrier spin wave is reflected at the end of the waveguide, which allows for an interaction of the subsequent input signals. The resulting spin dynamics are shown to become highly nonlinear under the influence of the spin current. The output of the reservoir is its magnetic state as a function of time, which is calculated as part of numerical simulations. Based on an analysis using the kernel and generalization rank, it is shown that the reservoir exhibits a non linear input-output relation. In the kernel rank analysis, the nonlinearity of the reservoir is extracted with spatial resolution, uncovering regions of interest for possible output definitions. This work contributes to the realization of neuromorphic applications based on spin waves and helps to improve benchmarks for physical reservoirs.