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
99 2018 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
48 2017 Database of novel magnetic materials for high-performance permanent magnet development P Nieves, S Arapan, J Maudes-Raedo, R Marticorena-Sánchez, ...
Computational materials science 168, 188-202, 2019
45 2019 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
39 2018 Searching the weakest link: Demagnetizing fields and magnetization reversal in permanent magnets J Fischbacher, A Kovacs, L Exl, J Kühnel, E Mehofer, H Sepehri-Amin, ...
Scripta Materialia 154, 253-258, 2018
37 2018 Thermal activation in permanent magnets S Bance, J Fischbacher, A Kovacs, H Oezelt, F Reichel, T Schrefl
Jom 67, 1350-1356, 2015
37 2015 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
35 2017 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 Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization L Exl, J Fischbacher, A Kovacs, H Oezelt, M Gusenbauer, T Schrefl
Computer Physics Communications 235, 179-186, 2019
33 2019 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
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 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
26 2022 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 Tuning the magnetocrystalline anisotropy of by alloying OY Vekilova, B Fayyazi, KP Skokov, O Gutfleisch, C Echevarria-Bonet, ...
Physical Review B 99 (2), 024421, 2019
23 2019 Learning magnetization dynamics A Kovacs, J Fischbacher, H Oezelt, M Gusenbauer, L Exl, F Bruckner, ...
Journal of Magnetism and Magnetic Materials 491, 165548, 2019
21 2019 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), 2015
17 2015 Self-organizing magnetic beads for biomedical applications M Gusenbauer, A Kovacs, F Reichel, L Exl, S Bance, H Özelt, T Schrefl
Journal of Magnetism and Magnetic Materials 324 (6), 977-982, 2012
17 2012 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