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Akademický článek

Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii–Moriya interaction

Autor: David Cortés-Ortuño, Marijan Beg, Vanessa Nehruji, Leoni Breth, Ryan Pepper, Thomas Kluyver, Gary Downing, Thorsten Hesjedal, Peter Hatton, Tom Lancaster, Riccardo Hertel, Ondrej Hovorka, Hans Fangohr

Publikováno v: New Journal of Physics, Vol 20, Iss 11, p 113015 (2018)

Understanding the role of the Dzyaloshinskii–Moriya interaction (DMI) for the formation of helimagnetic order, as well as the emergence of skyrmions in magnetic systems that lack inversion symmetry, has found increasing interest due to the signific

Externí odkaz: https://doaj.org/article/e41db7a756a548e3a969928bcbe0c7bb

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Physics-informed machine learning and stray field computation with application to micromagnetic energy minimization

Autor: Sebastian Schaffer, Thomas Schrefl, Harald Oezelt, Alexander Kovacs, Leoni Breth, Norbert J. Mauser, Dieter Suess, Lukas Exl

We study the full 3d static micromagnetic equations via a physics-informed neural network (PINN) ansatz for the continuous magnetization configuration. PINNs are inherently mesh-free and unsupervised learning models. In our approach we can learn to m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39202a0f4bd1d7fca50ea0bd217e62d8
http://arxiv.org/abs/2301.13508

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FORC Diagram Features of Co Particles due to Reversal by Domain Nucleation

Autor: Leoni Breth, Johann Fischbacher, Alexander Kovacs, Harald Oezelt, Thomas Schrefl, Hubert Brueckl, Christoph Czettl, Saskia Kührer, Julia Pachlhofer, Maria Schwarz

First Order Reversal Curve (FORC) diagrams are a popular tool in geophysics and materials science for the characterization of magnetic particles of natural and synthetic origin. However, there is still a lot of controversy about the rigorous interpre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66a49497eba342ea1c26832f95e4d7e1
http://arxiv.org/abs/2207.11011

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Exploring the hysteresis properties of nanocrystalline permanent magnets using deep learning

Autor: Alexander Kovacs, Lukas Exl, Alexander Kornell, Johann Fischbacher, Markus Hovorka, Markus Gusenbauer, Leoni Breth, Harald Oezelt, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Thomas Schrefl

We demonstrate the use of model order reduction and neural networks for estimating the hysteresis properties of nanocrystalline permanent magnets from microstructure. With a data-driven approach, we learn the demagnetization curve from data-sets crea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::284c88693612a1cbb1130b845a739b11
http://arxiv.org/abs/2203.16676

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Magnetostatics and micromagnetics with physics informed neural networks

Autor: Alexander Kovacs, Lukas Exl, Alexander Kornell, Johann Fischbacher, Markus Hovorka, Markus Gusenbauer, Leoni Breth, Harald Oezelt, Dirk Praetorius, Dieter Suess, Thomas Schrefl

Partial differential equations and variational problems can be solved with physics informed neural networks (PINNs). The unknown field is approximated with neural networks. Minimizing the residuals of the static Maxwell equation at collocation points

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::759ad1052bb91af9b87ef81ada31defd
http://arxiv.org/abs/2106.03362

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Conditional physics informed neural networks

Autor: Masao Yano, Johann Fischbacher, Akira Kato, Tetsuya Shoji, Markus Gusenbauer, Noritsugu Sakuma, Lukas Exl, Leoni Breth, Thomas Schrefl, Alexander Kovacs, Alexander Kornell, Harald Oezelt, Akihito Kinoshita, Markus Hovorka

Publikováno v: Communications in Nonlinear Science and Numerical Simulation. 104:106041

We introduce conditional PINNs (physics informed neural networks) for estimating the solution of classes of eigenvalue problems. The concept of PINNs is expanded to learn not only the solution of one particular differential equation but the solutions

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbbf0e5c5b4ca51737315e8dbdc5c133
https://doi.org/10.1016/j.cnsns.2021.106041

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Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii-Moriya interaction

Autor: Gary Downing, David Cortés-Ortuño, Hans Fangohr, Ondrej Hovorka, Marijan Beg, Thorsten Hesjedal, Ryan Pepper, Tom Lancaster, Thomas Kluyver, Leoni Breth, Peter D. Hatton, Riccardo Hertel, Vanessa Nehruji

Publikováno v: New Journal of Physics
New Journal of Physics, Institute of Physics: Open Access Journals, 2018, 20 (11), pp.113015. ⟨10.1088/1367-2630/aaea1c⟩
New journal of physics, 2018, Vol.20(11), pp.113015 [Peer Reviewed Journal]

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08fe553656596508253d85e3fc097ebd
https://ora.ox.ac.uk/objects/uuid:a9052f27-0b60-4110-8c0e-648dfcc1f4f2

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Ultra-Low-Cost RFID Based on Soft Magnetic Ribbons

Autor: Bernhard Bergmair, Christoph Vogler, Gino Hrkac, D. Suss, Leoni Breth, Florian Bruckner, Thomas M. Huber, Walid Hetaba

Publikováno v: IEEE Transactions on Magnetics. 50:1-5

An ultra-low-cost radio-frequency identification tag is presented comprising a soft magnetic ribbon that is biased by an adjacent permanent magnet. The tag is read by measuring changes in the ribbon's magnetization while applying magnetic ac and dc f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4a700a4f2cd127f1d0223cec4dbab374
https://doi.org/10.1109/tmag.2014.2327200

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Fluxgate Principle Applied to a Magnetic Tunnel Junction for Weak Magnetic Field Sensing

Autor: Dieter Suess, Leoni Breth, Karsten Rott, Theodoros Dimopoulos, Hubert Brückl, Joerg Schotter

A method is presented for measuring weak magnetic fields by applying a measurement principle known from fluxgate magnetometers to a magnetic tunnel junction. The fluxgate measurement principle based on second harmonic detection is transferred to magn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ebe5e9147a8644f8e1837888d1c362a
https://pub.uni-bielefeld.de/record/2289640

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Thermal switching field distribution of a single domain particle for field-dependent attempt frequency

Autor: Hubert Brueckl, Dieter Suess, Leoni Breth, Christoph Vogler, Rudolf Heer, Markus Fuger, Bernhard Bergmair

Publikováno v: Journal of Applied Physics. 112:023903

We present an analytical derivation of the switching field distribution (SFD) at finite temperature for a single domain particle from the Neel-Brown model in the presence of a linearly swept magnetic field. By considering the field dependence of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7685e2db8c908cbc138b95e81f410ce2
https://doi.org/10.1063/1.4737413

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