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Lukas Exl

University of Vienna

SCHOLARLY PAPERS

2

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73

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Scholarly Papers (2)

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1.

Exploring the Hysteresis Properties of Nanocrystalline Permanent Magnets Using Deep Learning

Downloads 60 (961,006)

Exploring the Hysteresis Properties of Nanocrystalline Permanent Magnets Using Deep Learning

Number of pages: 17 Posted: 13 Apr 2022
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 and Thomas Schrefl
affiliation not provided to SSRN, University of Vienna, affiliation not provided to SSRN, University for Continuing Education Krems, affiliation not provided to SSRN, University for Continuing Education Krems, University for Continuing Education Krems, University for Continuing Education Krems, Toyota Motor Corporation, Toyota Motor Corporation, Toyota Motor Corporation, Toyota Motor Corporation, Toyota Motor Corporation and University for Continuing Education Krems
Downloads 32 (1,326,242)

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micromagnetics, neural network, permanent magnet

Exploring the Hysteresis Properties of Nanocrystalline Permanent Magnets Using Deep Learning

Number of pages: 17 Posted: 15 Aug 2023
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 and Thomas Schrefl
affiliation not provided to SSRN, University of Vienna, affiliation not provided to SSRN, University for Continuing Education Krems, affiliation not provided to SSRN, University for Continuing Education Krems, University for Continuing Education Krems, University for Continuing Education Krems, Toyota Motor Corporation, Toyota Motor Corporation, Toyota Motor Corporation, Toyota Motor Corporation, Toyota Motor Corporation and University for Continuing Education Krems
Downloads 28 (1,385,838)

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micromagnetics, neural network, Permanent Magnet

2.

Spectrally Accurate and Efficient Convolution with the 3d Free-Space Laplace Green's Function Via the Super-Potential

Number of pages: 13 Posted: 01 Jul 2025
Lukas Exl and Sebastian Schaffer
University of Vienna and University of Vienna
Downloads 13 (1,526,714)

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super-potential, fast convolution, fast Fourier transform (FFT), free-space Coulomb and Newton potential, biharmonic equation, separable Gaussian-sum (GS) approximation