A single-image, physics-informed neural network can reconstruct spatially varying in-plane and 3D magnetization textures from simulated magnetic field images and can distinguish Bloch from Néel skyrmions and Bloch handedness.
Imaging domain reversal in an ultrathin van der Waals ferromagnet
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abstract
The recent isolation of two-dimensional van der Waals magnetic materials has uncovered rich physics that often differs from the magnetic behaviour of their bulk counterparts. However, the microscopic details of fundamental processes such as the initial magnetization or domain reversal, which govern the magnetic hysteresis, remain largely unknown in the ultrathin limit. Here we employ a widefield nitrogen-vacancy (NV) microscope to directly image these processes in few-layer flakes of magnetic semiconductor vanadium triiodide (VI$_3$). We observe complete and abrupt switching of most flakes at fields $H_c\approx0.5-1$ T (at 5 K) independent of thickness down to two atomic layers, with no intermediate partially-reversed state. The coercive field decreases as the temperature approaches the Curie temperature ($T_c\approx50$ K), however, the switching remains abrupt. We then image the initial magnetization process, which reveals thickness-dependent domain wall depinning fields well below $H_c$. These results point to ultrathin VI$_3$ being a nucleation-type hard ferromagnet, where the coercive field is set by the anisotropy-limited domain wall nucleation field. This work illustrates the power of widefield NV microscopy to investigate magnetization processes in van der Waals ferromagnets, which could be used to elucidate the origin of the hard ferromagnetic properties of other materials and explore field- and current-driven domain wall dynamics.
fields
cond-mat.mes-hall 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
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Reconstruction of non-trivial magnetization textures from magnetic field images using neural networks
A single-image, physics-informed neural network can reconstruct spatially varying in-plane and 3D magnetization textures from simulated magnetic field images and can distinguish Bloch from Néel skyrmions and Bloch handedness.