Ultrafast domain-wall motion

We are very happy that our work on ultrafast magnetization dynamics has been published in Physical Review Letter as editors’ suggestion and featured in the Physics magazine. This collaborative work features experiments performed at FERMI free-electron laser in Italy. Based on the data, we were able to discern changes in the scattering and link them to curvature-dependent distortions in the domain pattern. Congratulations to all authors and special mention to Kyle’s work and contribution to this research!

The paper can be found in Phys. Rev. Lett. 131, 256702 (2023)

Successful comps!

Medhanie, Ally, and Ghanem successfully became PhD candidates this fall. Congratulations and well done!

Pietro concludes his visit to the group

Pietro Micaletti visited us for two months to investigate spin wave dispersions in textured magnetic thin films. It was a very productive research and we are looking forward to continue our work with him and Prof. Montoncello. Unfortunately, the weather did not agree for the photo!

Numerical approach to approximate demag factors

Our method to determine demag factors for stadium-shaped nanoislands has been published in IEEE Magnetic Letters. This approach goes in tandem with Gænice to obtain a quantitative agreement with Kittel’s equation using the approximation of a diagonal demag tensor. The level of accuracy obtained allows us to resolve the resonant frequencies at low bias fields, as it is often the case in artificial spin ices.

Kyle and Ezio gave talks at MMM

MMM took place in Dallas, TX this year. Kyle delivered an invited talk on our new pseudo-spectral method and Ezio presented results using Gaenice. Many interesting talks on topological states, curved geometries, and machine learning!

Iacocca awarded DOE Early Career

We are pleased to announce that the proposal “Fourier and Fractional Neural Operators to Unveil Topological Textures in 3D Magnetism” was awarded funding under the DOE Early Career program for 2023. This 5-year project will advance physics-informed machine learning algorithms, focusing on the discovery of magnetic materials but with applications in nanopatterned materials.

Comments on the project can be found on UCCS’ communique article.

Iacocca gives invited talk at TMRC

We presented our work on ultrafast magnetism and domain-wall motion and how it could be envisioned to use artificial spin ices as a way to manipulate the flow of angular momentum at the nanoscale. Really interesting insights from the magnetic recording industry.

Ally attended IEEE Magnetic Summer School

Ally attended the 2023 IEEE Summer School in Bari, Italy and presented her latest results on dispersion of magnons through nanostructured materials.

We are happy that this event has been restored as it is a very good opportunity for students to listen to experts and interact with many other students worldwide.