Micromagnetics of rare-earth efficient permanent magnets J Fischbacher, A Kovacs, M Gusenbauer, H Oezelt, L Exl, S Bance, ... Journal of Physics D: Applied Physics 51 (19), 193002, 2018 | 101 | 2018 |
Influence of defect thickness on the angular dependence of coercivity in rare-earth permanent magnets S Bance, H Oezelt, T Schrefl, G Ciuta, NM Dempsey, D Givord, ... Applied Physics Letters 104 (18), 2014 | 75 | 2014 |
First order reversal curve studies of permanent magnets T Schrefl, T Shoji, M Winklhofer, H Oezelt, M Yano, G Zimanyi Journal of Applied Physics 111 (7), 07A728, 2012 | 65 | 2012 |
Nonlinear conjugate gradient methods in micromagnetics J Fischbacher, A Kovacs, H Oezelt, T Schrefl, L Exl, J Fidler, D Süss, ... Aip Advances 7 (4), 2017 | 50 | 2017 |
Magnetic microstructure machine learning analysis L Exl, J Fischbacher, A Kovacs, H Oezelt, M Gusenbauer, K Yokota, ... Journal of Physics: Materials 2 (1), 014001, 2018 | 40 | 2018 |
On the limits of coercivity in permanent magnets J Fischbacher, A Kovacs, H Oezelt, M Gusenbauer, T Schrefl, L Exl, ... Applied Physics Letters 111 (7), 2017 | 38 | 2017 |
Thermal activation in permanent magnets S Bance, J Fischbacher, A Kovacs, H Oezelt, F Reichel, T Schrefl Jom 67, 1350-1356, 2015 | 37 | 2015 |
Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization L Exl, J Fischbacher, A Kovacs, H Oezelt, M Gusenbauer, T Schrefl Computer Physics Communications, 2018 | 34 | 2018 |
Extracting local nucleation fields in permanent magnets using machine learning M Gusenbauer, H Oezelt, J Fischbacher, A Kovacs, P Zhao, TG Woodcock, ... npj Computational Materials 6 (1), 89, 2020 | 33 | 2020 |
Magnetostatics and micromagnetics with physics informed neural networks A Kovacs, L Exl, A Kornell, J Fischbacher, M Hovorka, M Gusenbauer, ... Journal of Magnetism and Magnetic Materials 548, 168951, 2022 | 32 | 2022 |
High energy product in Battenberg structured magnets S Bance, H Oezelt, T Schrefl, M Winklhofer, G Hrkac, G Zimanyi, ... Applied Physics Letters 105 (19), 2014 | 30 | 2014 |
Conditional physics informed neural networks A Kovacs, L Exl, A Kornell, J Fischbacher, M Hovorka, M Gusenbauer, ... Communications in Nonlinear Science and Numerical Simulation 104, 106041, 2022 | 29 | 2022 |
Computational design of rare-earth reduced permanent magnets A Kovacs, J Fischbacher, M Gusenbauer, H Oezelt, HC Herper, ... Engineering 6 (2), 148-153, 2020 | 28 | 2020 |
Learning magnetization dynamics A Kovacs, J Fischbacher, H Oezelt, M Gusenbauer, L Exl, F Bruckner, ... Journal of Magnetism and Magnetic Materials 491, 165548, 2019 | 26* | 2019 |
Micromagnetic simulation of exchange coupled ferri-/ferromagnetic heterostructures H Oezelt, A Kovacs, F Reichel, J Fischbacher, S Bance, M Gusenbauer, ... Journal of magnetism and magnetic materials 381, 28-33, 2015 | 26 | 2015 |
Micromagnetic Simulations for Coercivity Improvement Through Nano-Structuring of Rare-Earth-Free L10-FeNi Magnets A Kovacs, J Fischbacher, H Oezelt, T Schrefl, A Kaidatzis, R Salikhov, ... IEEE Transactions on Magnetics 53 (11), 1-5, 2017 | 21 | 2017 |
Micromagnetic simulation of exchange coupled ferri-/ferromagnetic composite in bit patterned media H Oezelt, A Kovacs, P Wohlhüter, E Kirk, D Nissen, P Matthes, ... Journal of Applied Physics 117 (17), 17E501, 2015 | 17 | 2015 |
Self-organizing magnetic beads for biomedical applications G Markus, K Alexander, R Franz, E Lukas, B Simon, O Harald, S Thomas Journal of Magnetism and Magnetic Materials, 2011 | 17* | 2011 |
Physics-informed machine learning combining experiment and simulation for the design of neodymium-iron-boron permanent magnets with reduced critical-elements content A Kovacs, J Fischbacher, H Oezelt, A Kornell, Q Ali, M Gusenbauer, ... Frontiers in Materials 9, 1094055, 2023 | 12 | 2023 |
Guided self-assembly of magnetic beads for biomedical applications M Gusenbauer, H Nguyen, F Reichel, L Exl, S Bance, J Fischbacher, ... Physica B: Condensed Matter 435, 21-24, 2014 | 11 | 2014 |