activity
20172026
most citedDynamical defects in rotating magnetic skyrmion lattices

63 citations · 125 across the 10 of their papers we have counts for

collaborators

10 papers

cond-mat.mes-hall2026

Spin-orbit torque-driven synthetic antiferromagnetic oscillator

P. K. Rout, J. Godinho, F. Vilsmeier +9

Antiferromagnets offer a promising route toward robust spintronic devices because of their compensated magnetic order and exchange-enhanced spin dynamics. Here, we demonstrate a sp…

cond-mat.mes-hall2024

Magnetization patterns in - core-shell nanorods

Anastasiia Korniienko, Alexis Wartelle, Matthias Kronseder +8

We present a study on the static magnetic properties of individual - core-shell nanorods. X-ray Magnetic Circular Dichroism…

cond-mat.mes-hall2024

Comparative analysis of spin wave imaging using nitrogen vacancy centers and time resolved magneto-optical measurements

Carolina Lüthi, Lukas Colombo, Franz Vilsmeier +1

Spin waves, the fundamental excitations in magnetic materials, are promising candidates for realizing low-dissipation information processing in spintronics. The ability to visualiz…

physics.app-ph2024★ 7 cited

Spatial Control of Hybridization-Induced Spin-Wave Transmission Stop Band

Franz Vilsmeier, Christian Riedel, Christian H. Back

Spin-wave (SW) propagation close to the hybridization-induced transmission stop band is investigated within a trapezoid-shaped 200\,nm thick yttrium iron garnet (YIG) film using ti…

cond-mat.mes-hall2024★ 3 cited

Tracing Dirac points of topological surface states by ferromagnetic resonance

Laura Pietanesi, Magdalena Marganska, Thomas Mayer +13

Ferromagnetic resonance is used to reveal features of the buried electronic band structure at interfaces between ferromagnetic metals and topological insulators. By monitoring the…

cond-mat.mtrl-sci2022★ 3 cited

Task-adaptive physical reservoir computing

Oscar Lee, Tianyi Wei, Kilian D. Stenning +11

Reservoir computing is a neuromorphic architecture that potentially offers viable solutions to the growing energy costs of machine learning. In software-based machine learning, neu…