Dr. Alexander Kovacs, MSc BSc
- alexander.kovacs@donau-uni.ac.at
- +43 2622 +43 (2732) 23420-55
- To contact form
- Donau-Universität Krems Department für Integrierte Sensorsysteme
- Zent. für Integrierte Sensorsysteme
- Viktor Kaplan Str. 2, Bauteil E - 2. Stock
- 2700 Wiener Neustadt
- ÖSTERREICH
Publications (Extract Research Database)
Gusenbauer, M.; Kovacs, A.; Özelt, H.; Fischbacher, J.; Zhao, P.; Woodcock, T.G.;Schrefl, T. (2021). Insights into MnAl-C nano-twin defects by micromagnetic characterization. Journal of Applied Physics, 129(9): 093902
Gusenbauer, G.; Oezelt, H.; Fischbacher, J.; Kovacs, A.; Zhao, P.; Woodcock, T. G.; Schrefl, T. (2020). Extracting local switching fields in permanent magnets using machine learning. npj Computational Materials, 6: 89ff
Kovacs, A.; Fischbacher, J.; Gusenbauer, M.; Oezelt, H.; Herper, H. C.; Vekilova, O. Y.; Nieves, P.; Arapan, S.; Schrefl, T. (2020). Computational design of rare-earth reduced permanent magnets. Engineering, 6: 148
Exl, L.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Schrefl, T. (2019). Preconditioned nonlinear conjugate gradient method for micromagnetic energy minimization. Computer Physics Communications, 235: 179-186
Gusenbauer, M.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Bance, S.; Zhao, P.; Woodcock, T.G.; Schrefl, T. (2019). Automated meshing of electron backscatter diffraction data and application to finite element micromagnetics. Journal of Magnetism and Magnetic Materials, Volume 486: 165256
Kovacs, A.; Fischbacher, J.; Gusenbauer, M.; Oezelt, H.; Herper, H. C.; Vekilova, O. Yu.; Nieves, P.; Arapan, S.; Schrefl, T. (2019). Computational Design of Rare-Earth Reduced Permanent Magnets. Engineering, November 2019: in press
Kovacs, A.; Fischbacher, J.; Oezelt, H.; Gusenbauer, M.; Exl, L.; Bruckner, F.; Suess, D.; Schrefl, T. (2019). Learning Magnetization Dynamics. Journal of Magnetism and Magnetic Materials, 491: 165548
Nieves, P.; Arapan, S.; Maudes-Raedo, J.; Marticorena-Sánchez, R.; Del Brío, N. L.; Kovacs, A.; Echevarria-Bonet, C.; Salazar, D.; Weischenberg, J.; Zhang, H.; Vekilova, O. Yu.; Serrano-López, R.; Barandiaran, J. M.; Skokov, K.; Gutfleisch, O.; Eriksson, O.; Herper, H. C.; Schrefl, T.; Cuesta-López, S. (2019). Database of Novel Magnetic Materials for High-Performance Permanent Magnet Development. Computational Materials Science, 168: 188-202
Vekilova, O. Y.; Fayyazi, B.; Skokov, K. P.; Gutfleisch, O.; Echevarria-Bonet, C.; Barandiarán, J. M.; Kovacs, A.; Fischbacher, J.; Schrefl, T.; Eriksson, O.; Herper, H. C. (2019). Tuning the Magnetocrystalline Anisotropy of Fe3Sn by Alloying. Physical Review B, 99: 024421
Exl, L.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Yokota, K.; Shoji, T., Hrkac, G.; Schrefl, T.; (2018). Magnetic microstructure machine learning analysis. JPhys Materials, 2: 014001/https://doi.org/10.1088/2515-7639/aaf26d
Fischbacher, J.; Kovacs, A.; Exl, L.; Kühnel, J.; Mehofer, E.; Sepehri-Amin, H.; Ohkubo, T.; Hono, K.; Schrefl, T. (2018). Searching the weakest link: Demagnetizing fields and magnetization reversal in permanent magnets. Scripta Materialia, 154: 253/https://doi.org/10.1016/j.scriptamat.2017.11.0
Fischbacher, J.; Kovacs, A.; Gusenbauer, M.; Oezelt, H.; Exl, L.; Bance, S.; Schrefl, T. (2018). Micromagnetics of rare-earth efficient permanent magnets. Journal of Physics D: Applied Physics, Vol. 51, no. 19: 193002-193019
Mitin, D.; Kovacs, A.; Schrefl, T.; Ehresmann, A.; Holzinger, D.; Albrecht, M. (2018). Magnetic properties of artificially designed magnetic stray field landscapes in laterally confined exchange-bias layers. Nanotechnology, Vol. 29: 355708
Fischbacher, J.; Kovacs, A.; Exl, L.; Kühnel, J.; Mehofer, E.; Sepehri-Amin, H.; Ohkubo, T.; Hono, K.; Schrefl, T. (2017). Searching the weakest link: Demagnetizing fields and magnetization reversal in permanent magnets. Scripta Materialia, in press: in press
Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Schrefl, T.; Exl, L.; Givord, D.; Dempsey, N. M.; Winklhofer, M.; Hrkac, G.; Chantrell, R.; Sakuma, N.; Yano, M.; Kato, A.; Shoji, T.; Manabe, A. (2017). On the limits of coercivity in permanent magnets. Applied Physics Letters, 111(7): 072404
Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Suess, D.; Schrefl, T. (2017). Effective uniaxial anisotropy in easy-plane materials through nanostructuring. Applied Physics Letters, 111(19): 192407
Fischbacher, J.; Kovacs, A.; Oezelt, H.; Schrefl, T.; Exl, L.; Fidler, J.; Suess, D.; Sakuma, N.; Yano, M.; Kato, A.; Shoji, T.; Manabe, A. (2017). Nonlinear conjugate gradient methods in micromagnetics. AIP Advances, 7(4): 045310
Kovacs, A.; Fischbacher, J.; Oezelt, H.; Schrefl, T.; Kaidatzis, A.; Salikhov, R.; Farle, M.; Giannopoulus, G.; Niarchos, D. (2017). Micromagnetic Simulations for Coercivity Improvement Through Nano-Structuring of Rare-Earth-Free L10-FeNi Magnets. IEEE Transactions on Magnetics, 53(11): DOI: 10.1109/TMAG.2017.2701418
Oezelt, H.; Kirk, E.; Wohlhüter, P.; Müller, E.; Heyderman, L.; Kovacs, A.; Schrefl, T. (2017). Vortex motion in amorphous ferrimagnetic thin film elements. AIP Advances, 7(5): https://doi.org/10.1063/1.4973295
Oezelt, H.; Kovacs, A.; Fischbacher, J.; Bance, S.; Gubbins, M.; Schrefl, T. (2017). Transition Jitter in Heat-Assisted Magnetic Recording by Micromagnetic Simulation. IEEE Transactions on Magnetics, 53(11): DOI: 10.1109/TMAG.2017.2709840
Lectures (Extract Research Database)
Machine Learning for Relating Structure and Coercivity of Permanent Magnets
Virtual REPM 2021, 09/06/2021
Classification and optimization of a magnet’s microstructure
64th Annual Conference on Magnetism and Magnetic Material, Las Vegas, USA, 06/11/2019
Micromagnetic characterization of MnAl-C using trained neural networks
JEMS2019, Uppsala, Schweden, 29/08/2019
Ferromagnetic resonance simulations for stochastic Landau-Lifshitz-Gilbert equation
The Joint European Magnetic Symposia (JEMS), Uppsala, Sweden, 29/08/2019
Materials and Device Optimization in Micromagnetic Systems
61st Annual Conference on Magnetism and Magnetic Materials - MMM 2016, New Orleans, Louisiana, USA, 31. Oct. - 4. Nov. 2016, 02/11/2016