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We present a comprehensive approach to characterizing labyrinthine structures that often emerge as a final steady state in pattern forming systems. We employ advanced machine learning based pattern recognition techniques to identify the…

Two-dimensional magnetic garnets exhibit complex and fascinating magnetic domain structures, like stripes, labyrinths, cells and mixed states of stripes and cells. These patterns do change in a reversible way when the intensity of an…

Statistical Mechanics · Physics 2009-11-07 J. R. Iglesias , S. Goncalves , O. Nagel , M. Kiwi

The fabrication and integration of high-quality structures of Yttrium Iron Garnet (YIG) is critical for magnonics.Films with excellent properties are obtained only on single crystal Gadolinium Gallium Garnet (GGG) substrates using…

We demonstrate patterned growth of epitaxial yttrium iron garnet (YIG) thin films using lithographically defined templates on gadolinium gallium garnet (GGG) substrates. The fabricated YIG nanostructures yield the desired crystallographic…

Mesoscale and Nanoscale Physics · Physics 2017-06-28 Na Zhu , Houchen Chang , Andrew Franson , Tao Liu , Xufeng Zhang , E. Johnston-Halperin , Mingzhong Wu , Hong X. Tang

We study a thin film yttrium iron garnet sample that exhibits magnetic stripe domains due to a small perpendicular magnetic anisotropy. Using wide-field magneto-optic Kerr effect measurements we reveal the domain pattern evolution as a…

We have investigated recrystallization of amorphous Yttrium Iron Garnet (YIG) by annealing in oxygen atmosphere. Our findings show that well below the melting temperature the material transforms into a fully epitaxial layer with exceptional…

Materials Science · Physics 2015-06-15 C. Hauser , T. Richter , N. Homonnay , C. Eisenschmidt , H. Deniz , D. Hesse , S. Ebbinghaus , G. Schmidt

We report strong damping enhancement in a 200 nm thick yttrium iron garnet (YIG) film due to spin inhomogeneity at the interface. The growth-induced thin interfacial gadolinium iron garnet (GdIG) layer antiferromagnetically (AFM) exchange…

Materials Science · Physics 2022-08-17 Ravinder Kumar , B. Samantaray , Shubhankar Das , Kishori Lal , D. Samal , Z. Hossain

The magnetostatic mode (MSM) spectrum of a 300$\mu$m diameter single crystalline sphere of yttrium iron garnet is investigated using broadband ferromagnetic resonance (FMR). The individual MSMs are identified via their characteristic…

Yttrium Iron Garnet (YIG) and bismuth (Bi) substituted YIG (Bi0.1Y2.9Fe5O12, BYG) films are grown in-situ on single crystalline Gadolinium Gallium Garnet (GGG) substrates [with (100) and (111) orientations] using pulsed laser deposition…

Materials Science · Physics 2021-09-14 Ganesh Gurjar , Vinay Sharma , Bijoy K. Kuanr , S. Patnaik

Stripe domains are narrow, elongated, reversed regions that exist in magnetic materials with perpendicular magnetic anisotropy. Stripe domains appear as a pair of domain walls that can exhibit topology with a nonzero chirality. Recent…

Mesoscale and Nanoscale Physics · Physics 2018-04-04 Max E. Ruth , Ezio Iacocca , Panayotis G. Kevrekidis , Mark A. Hoefer

We present a comprehensive investigation of propagating spin waves in nanometer-thick yttrium iron garnet (YIG) films. We use broadband spin-wave spectroscopy with integrated coplanar waveguides (CPWs) and microstrip antennas on top of…

Mesoscale and Nanoscale Physics · Physics 2019-01-02 Huajun Qin , Sampo J. Hämäläinen , Kristian Arjas , Jorn Witteveen , Sebastiaan van Dijken

The resonant eigenmodes of a nitrogen-implanted iron {\alpha}'-FeN characterized by weak stripe domains are investigated by Brillouin light scattering and broadband ferromagnetic resonance experiments, assisted by micromagnetic simulations.…

Mesoscale and Nanoscale Physics · Physics 2017-08-15 S. Camara , S. Tacchi , L. -C. Garnier , M. Eddrief , F. Fortuna , G. Carlotti , M. Marangolo

The potential of deep learning-based image-to-image translations has recently attracted significant attention. One possible application of such a framework is as a fast, approximate alternative to cosmological simulations, which would be…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-13 Xiaofeng Dong , Nesar Ramachandra , Salman Habib , Katrin Heitmann

We report on the structure, magnetization, magnetic anisotropy, and domain morphology of ultrathin yttrium iron garnet (YIG)/Pt films with thickness ranging from 3 to 90 nm. We find that the saturation magnetization is close to the bulk…

The propagation of edge localized spin waves (E-SWs) in yttrium iron garnet (YIG) microstripes with/without the proximate magnetic microstructures is investigated by micromagnetic simulations. A splitting of the dispersion curve with the…

Materials Science · Physics 2019-12-04 Zhizhi Zhang , Michael Vogel , M. Benjamin Jungfleisch , Axel Hoffmann , Yan Nie , Valentine Novosad

We analyze the transport properties of curved, three-dimensional graphite samples in strong magnetic fields. Focusing on a millimeter-scale graphite cylinder as a prototypical curved object, we perform longitudinal and Hall voltage…

Mesoscale and Nanoscale Physics · Physics 2024-07-22 N. Kunchur , S. Galeski , F. Menges , R. Wawrzyńczak , C. Felser , T. Meng , J. Gooth

Geometric Graph Neural Networks (GNNs) and Transformers have become state-of-the-art for learning from 3D protein structures. However, their reliance on message passing prevents them from capturing the hierarchical interactions that govern…

Machine Learning · Computer Science 2025-12-09 Chang Liu , Vivian Li , Linus Leong , Vladimir Radenkovic , Pietro Liò , Chaitanya K. Joshi

Bismuth-doped Yttrium iron garnet (Bi:YIG) thin films known for large Magneto-optical activity with low losses still needs to get probed for its magnetization dynamics. We demonstrate a controlled tuning of magnetocrystalline anisotropy in…

Mesoscale and Nanoscale Physics · Physics 2020-06-09 Ravinder Kumar , B. Samantaray , Z. Hossain

We present a graph-based deep learning framework for predicting the magnetic properties of quasi-one-dimensional Ising spin systems. The lattice geometry is encoded as a graph and processed by a graph neural network (GNN) followed by fully…

Disordered Systems and Neural Networks · Physics 2025-07-24 V. Slavin , O. Kryvchikov , D. Laptev

The capability of multi-input field-to-field regression, i.e. mapping the initial field and applied conditions to the evolved field, is appealing, enabling ultra-fast physics-free simulation of various field evolvements across many…

Computational Engineering, Finance, and Science · Computer Science 2020-12-22 Zhuo Wang , Xiao Wang , Wenhua Yang , Yaohong Xiao , Yucheng Liu , Lei Chen
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