collaborators

6 papers

cond-mat.other2026

Brillouin Light Scattering Spectroscopy of Propagating Magnons at Sub-Kelvin Temperatures

David Schmoll, Nikolai Kuznetsov, Phillip Rehberger +8

Coupling light to magnetic excitations in the form of spin waves underpins both the optical study of magnetism and emerging schemes for quantum transduction, positioning the quanta…

cond-mat.mes-hall2026

Spin-Wave Phase Shifter Controlled by a Domain Wall Racetrack

Uladzislau Makartsou, Olena Tartakivska, Paweł Gruszecki +4

We propose a spin-wave phase shifter controlled using a domain-wall racetrack. The concept is demonstrated using micromagnetic simulations of a Permalloy domain-wall racetrack plac…

cond-mat.mes-hall2026

Spin-wave bandgap engineering via mode hybridization in dipolar-coupled YIG film/CoFeB nanodisk magnonic crystals

Junyoung Hyun, Krzysztof Szulc, Mateusz Zelent +5

We investigate spin-wave transport in hybrid two-dimensional magnonic crystals comprising a low-damping yttrium iron garnet (YIG) film coupled to a periodic array of CoFeB nanodisk…

cond-mat.mtrl-sci2026

Bismuth-substituted Lutetium Iron Garnet Films with Giant Visible-Range Magneto-Optical Sensitivity

Megan H. Dransfield, Matthijs H. J. de Jong, Lukáš Flajšman +6

Magneto-optical materials are indispensable across modern physics, serving as the foundation for precision magnetic sensing, nonreciprocal photonics, and optical isolation technolo…

cond-mat.mtrl-sci2026

Nonlinear dynamics in magnonic Fabry-Pérot resonators: Low-power neuron-like activation and transmission suppression

Anton Lutsenko, Kevin G. Fripp, Lukáš Flajšman +3

We report on nonlinear spin-wave dynamics in magnonic Fabry-Pérot resonators composed of yttrium iron garnet (YIG) films coupled to CoFeB nanostripes. Using super-Nyquist sampling…

physics.app-ph2024

A magneto-ionic synapse for reservoir computing

Sreeveni Das, Rhodri Mansell, Lukáš Flajšman +3

Neuromorphic computing aims to revolutionize large-scale data processing by developing efficient methods and devices inspired by neural networks. Among these, the control of magnet…