Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Harald Oezelt"'
Autor:
Harald Oezelt, Luman Qu, Alexander Kovacs, Johann Fischbacher, Markus Gusenbauer, Roman Beigelbeck, Dirk Praetorius, Masao Yano, Tetsuya Shoji, Akira Kato, Roy Chantrell, Michael Winklhofer, Gergely T. Zimanyi, Thomas Schrefl
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract In this paper, we address the problem that standard stochastic Landau-Lifshitz-Gilbert (sLLG) simulations typically produce results that show unphysical mesh-size dependence. The root cause of this problem is that the effects of spin-wave fl
Externí odkaz:
https://doaj.org/article/54c7e470daac4317b1b9d7d6ec6be7c3
Autor:
Alexander Kovacs, Johann Fischbacher, Harald Oezelt, Alexander Kornell, Qais Ali, Markus Gusenbauer, Masao Yano, Noritsugu Sakuma, Akihito Kinoshita, Tetsuya Shoji, Akira Kato, Yuan Hong, Stéphane Grenier, Thibaut Devillers, Nora M. Dempsey, Tetsuya Fukushima, Hisazumi Akai, Naoki Kawashima, Takashi Miyake, Thomas Schrefl
Publikováno v:
Frontiers in Materials, Vol 9 (2023)
Rare-earth elements like neodymium, terbium and dysprosium are crucial to the performance of permanent magnets used in various green-energy technologies like hybrid or electric cars. To address the supply risk of those elements, we applied machine-le
Externí odkaz:
https://doaj.org/article/ba3de6b1961f495380a13d05ea592dea
Autor:
Alexander Kovacs, Johann Fischbacher, Markus Gusenbauer, Harald Oezelt, Heike C. Herper, Olga Yu. Vekilova, Pablo Nieves, Sergiu Arapan, Thomas Schrefl
Publikováno v:
Engineering, Vol 6, Iss 2, Pp 148-153 (2020)
Multiscale simulation is a key research tool in the quest for new permanent magnets. Starting with first principles methods, a sequence of simulation methods can be applied to calculate the maximum possible coercive field and expected energy density
Externí odkaz:
https://doaj.org/article/3e518bedb17e40aca524e65934fc3e93
Autor:
Harald Oezelt, Eugenie Kirk, Phillip Wohlhüter, Elisabeth Müller, Laura Jane Heyderman, Alexander Kovacs, Thomas Schrefl
Publikováno v:
AIP Advances, Vol 7, Iss 5, Pp 056001-056001-5 (2017)
Amorphous Fe64Gd36 thin film square elements are investigated by imaging in the Fresnel mode of a transmission electron microscope (TEM). The equilibrium state without an applied field shows the well-known four-domain flux closure pattern with in-pla
Externí odkaz:
https://doaj.org/article/7ec22446ad1b450ca92cd166bbf32066
Autor:
J. Fischbacher, Alexander Kovacs, Harald Oezelt, T. Schrefl, L. Exl, J. Fidler, D. Suess, N. Sakuma, M. Yano, A. Kato, T. Shoji, A. Manabe
Publikováno v:
AIP Advances, Vol 7, Iss 4, Pp 045310-045310-13 (2017)
Conjugate gradient methods for energy minimization in micromagnetics are compared. The comparison of analytic results with numerical simulation shows that standard conjugate gradient method may fail to produce correct results. A method that restricts
Externí odkaz:
https://doaj.org/article/fa57ec74d5ea4c2aa2989a541bf62aa0
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
http://arxiv.org/abs/2301.13508
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
http://arxiv.org/abs/2207.11011
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
http://arxiv.org/abs/2203.16676
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
http://arxiv.org/abs/2106.03362
Autor:
Lukas Exl, Thomas Schrefl, Alexander Kovacs, Markus Gusenbauer, Harald Oezelt, Johann Fischbacher
Publikováno v:
Computer Physics Communications. 235:179-186
Fast computation of demagnetization curves is essential for the computational design of soft magnetic sensors or permanent magnet materials. We show that a sparse preconditioner for a nonlinear conjugate gradient energy minimizer can lead to a speed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4580ebc2057a25cef40c366ec369a1
https://doi.org/10.1016/j.cpc.2018.09.004
https://doi.org/10.1016/j.cpc.2018.09.004