Magnetic Force Microscopy – what you should know about it

Join this webinar on the 6th July - 15:00 (BST) / 16:00 (CET) / 10:00 (EDT) titled, Magnetic Force Microscopy – what you should know about it!

Check out all webinars from the Empowering AFM Imaging series here.

About this webinar:

Magnetic Force Microscopy (MFM) is a well-known non-contact scanning probe (SPM) technique established for more than 35 years by now, that is capable of mapping near-surface magnetic textures and structures down to the 10-nm-spatial resolution. MFM becomes an indispensable and complementary tool in modern-type material analysis, especially when focusing for instance on topological and low-dimensional systems.

In this webinar, I will focus on how we can separate magnetic information by MFM, from other (local) signals, especially also shedding light on the different SPM “channels” that might deliver the wanted magnetic information, i.e. as a frequency shift, as a net dissipation signal, or even as an electrostatic signal, just to mention the most popular ones. Careful analysis of these signals even allows to differentiate Néel-type from Bloch-type domain walls (DWs) [1], hence paving the way for the quantitative investigation of magnetic skyrmions (SKYs) [2-10] and antiskyrmions [11-13].

I will finish this webinar by emphasizing on the indispensable need of MFM for the nanosciences, in that MFM has the power to readily prove that many estimates on magnetic textures, deduced from macroscopic measurements such as Anomalous and Topological Hall transport, are in fact wrong and heavily overinterpreted [14].

About the event speaker:

Professor Lukas M. Eng is the Chair of Experiment Physics/Photophysics at the Institute of Applied Physics at TU Dresden, Germany. 

In the group of Professor Lukas M. Eng characterization on the nanometer-scale is combined with sophisticated materials science, spanning multiple research areas such as photo-physics, nano-optics, plasmonics, scanning probe microscopy and materials science.

For more information on the Eng group, please check the following links:
- Research activities
- List of publications
- Topics for theses

Who should attend this webinar:

This event is part of our ‘Trends vs. Hypes in AFM’ webinar series. In this 4-part webinar series, we deal with the questions: Which features are relevant for my applications? Do I really need all the hypes of AFM? How can I get the best possible data with my AFM? 

We will take you on a tour including features like high resolution, advantages of ambient vs. high vacuum conditions, electrical investigations, and automation of experiments in order to holistically address the state-of-the-art in AFM. 

This series focuses on trending applications in #nanoresearch

References:
[1] R. Streubel et al., Phys. Rev. B 87, 054410 (2013); https://doi.org/10.1103/PhysRevB.87.054410.
[2] P. Milde et al., Science 340, 1076 (2013); https://doi.org/10.1126/science.1234657.
[3] I. Kézsmárki et al., Nat. Mater. 14, 1116 (2015); https://doi.org/10.1038/nmat4402.
[4] P. Milde et al., Phys. Rev. B 100, 024408 (2019); https://doi.org/10.1103/PhysRevB.100.024408.
[5] P. Milde et al., Phys. Rev. B 102, 024426 (2020); https://doi.org/10.1103/PhysRevB.102.024426.
[7] P. Milde et al., NanoLett. 16, 5612 (2016); https://doi.org/10.1021/acs.nanolett.6b02167.
[8] A. Butykai et al., Sci. Rep. 7, 44663 (2017); https://doi.org/10.1038/srep44663.
[9] K. Geirhos et al., npj Quantum Materials 5, 44 (2020); https://doi.org/10.1038/s41535-020-0247-z.
[10] E. Neuber et al., J. Phys.: Condens. Matter 30, 445402 (2018); https://doi.org/10.1088/1361-648X/aae448.
[11] B.E. Zuniga Cespedes et al., Phys. Rev. B 103, 184411 (2021); https://doi.org/10.1103/PhysRevB.103.184411.
[12] A.S. Sukhanov et al., Phys. Rev. B 102, 174447 (2020); https://doi.org/10.1103/PhysRevB.102.174447.
[13] B.E. Zuniga Cespedes et al., Parksystems App. Note #71 (2021); https://parksystems.com/medias/nano-academy/articles/2405-mfm-on-mn1-4ptsn-investigating-magnetic-hosts-for-anti-skyrmions.
[14] G. Malsch et al., ACS Appl. Nanomater. 3, 1182 (2020); https://doi.org/10.1021/acsanm.9b01918.

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