3 citations · 6 across the 5 of their papers we have counts for
5 papers
Perspective on Nanoscaled Magnonic Networks
Qi Wang, Gyorgy Csaba, Roman Verba +2
With the rapid development of artificial intelligence in recent years, mankind is facing an unprecedented demand for data processing. Today, almost all data processing is performed…
Design of Oscillatory Neural Networks by Machine Learning
Tamas Rudner, Wolfgang Porod, Gyorgy Csaba
We demonstrate the utility of machine learning algorithms for the design of Oscillatory Neural Networks (ONNs). After constructing a circuit model of the oscillators in a machine-l…
Parametric excitations of coupled nanomagnets
Domonkos Laszlo Farkas, Gyorgy Csaba
We demonstrate that parametrically excited eigenmodes in nearby nanomagnets can be coupled to each other. Both positive (in-phase) and negative (anti-phase) couplings can be realiz…
Experimental Demonstration of a Spin-Wave Lens Designed with Machine Learning
Martina Kiechle, Levente Maucha, Valentin Ahrens +5
We present the design and experimental realization of a device that acts like a spin-wave lens i.e., it focuses spin waves to a specified location. The structure of the lens does n…
Spin-Wave Optics in YIG by Ion-Beam Irradiation
Martina Kiechle, Adam Papp, Simon Mendisch +6
We demonstrate direct focused ion beam (FIB) writing as an enabling technology for realizing spin-wave-optics devices. It is shown that ion-beam irradiation changes the characteris…