Cantilever detected ferromagnetic resonance in thin Fe$_{50}$Ni$_{50}$, Co$_2$FeAl$_{0.5}$Si$_{0.5}$ and Sr$_2$FeMoO$_6$ films using a double modulation technique
Alexey Alfonsov, Eiji Ohmichi, Pavel Leksin, Ahmad Omar, Hailong Wang,, Sabine Wurmehl, Fengyuan Yang, Hitoshi Ohta

TL;DR
This paper introduces a novel cantilever-based ferromagnetic resonance detection method capable of high-frequency measurements on thin films, revealing complex magnetization dynamics not explained by conventional models.
Contribution
The study presents a new FMR detection technique using a commercial piezo-cantilever, enabling measurements up to 160 GHz on nanometer-thick films, and uncovers complex magnetization behaviors in these materials.
Findings
Successful detection of FMR in thin films using cantilever setup.
Identification of complex magnetization dynamics in Sr₂FeMoO₆.
Observation of increased linewidths and secondary resonance lines at high frequencies.
Abstract
In this work we introduce a new method of a ferromagnetic resonance (FMR) detection from thin, nm-size, films. Our setup is based on the commercial piezo-cantilever, used for atomic force microscopy. It has an option to rotate the sample in the magnetic field and it operates up to the high microwave frequencies of 160 GHz. Using our cantilever based FMR spectrometer we have investigated a set of samples, namely quasi-bulk and 84 nm film CoFeAlSi samples, 16 nm FeNi film and 150 nm SrFeMoO film. The high frequency ferromagnetic resonance (FMR) response from an extremely thin FeNi film we have fitted with the conventional model for the magnetization dynamics. The cantilever detected FMR experiments on SrFeMoO film reveal an inability of the conventional model to fit frequency and angular dependences with the same set of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
