
Univ.-Doz.Dipl.-Ing.Dr. Thomas Schrefl
- thomas.schrefl@donau-uni.ac.at
- +43 2622 23420-20
- +43 2622 23420-99 (Fax)
- Zum Kontaktformular
- TFZ Wiener Neustadt, Bauteil E - Stock 2
- Donau-Universität Krems
- Zentrum für Modellierung und Simulation
- Viktor Kaplan Straße 2 - Bauteil E
- 2700 Wiener Neustadt
- Österreich
Projekte (Auszug Forschungsdatenbank)
Magnet design through physics informed machine learning
Nanostructured multiphase permanent magnets
Nanostructured multiphase permanent magnets
Atomistic Simulation of rare-earth reduced permanent magnets
NanoStructured Multiphase Permanent Magnets
NOVel, critical materials free, high Anisotropy phases for permanent MAGnets, by design
CREST III Simulation of hard magnet magnetic materials
Nano-Structured Multi-Phase Permanent Magnets II
Publikationen (Auszug Forschungsdatenbank)
Exl, L.; Mauser, N.; Schrefl, T.; Suess, D. (2020). Learning time-stepping by nonlinear dimensionality reduction to predict magnetization dynamics. Communications in Nonlinear Science and Numerical Simulation, Vol. 84: 105205, elsevier
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, Springer Nature
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, Elsevier
Schönhöbel, A.M.; Madugundo, R.; Barandiarán, J.M.; Hadjipanayis, G.C.; Palanisamy, D.; Schwarz, T.; Gault, B.; Raabe, D.; Skokov, K.; Gutfleisch, O.; Fischbacher, J.; Schrefl, T. (2020). Nanocrystalline Sm-based 1:12 magnets. Acta Materialia, Vol. 200: 652-658, Elsevier
Skelland, C.; Westmoreland, S.C.; Ostler, T.; Evans, R.F.L.; Chantrell, R.W.; Yano, M.; Shoji, T.; Kato, A.; Ito, M.; Winklhofer, M.; Zimanyi, G.; Schrefl, T.; Fischbacher, J.; Hrkac, G. (2020). Atomistic study on the pressure dependence of the melting point of NdFe12. AIP Advances, Vol. 10, iss. 2: 025130, AIP
Tang, X.; Li, J.; Miyazaki, Y.; Sepehri-Amin, H.; Ohkubo, T.; Schrefl, T.; Hono, K. (2020). Relationship between the Thermal Stability of Coercivity and the Aspect Ratio of Grains in Nd-Fe-B Magnets: Experimental and Numerical Approaches. Acta Materialia, 183: 408-417, elsevier
Westmoreland, S. C.; Skelland, C.; Shoji, T.; Yano, M.; Kato, A.; Ito, M.; Hrkac, G.; Schrefl, T.; Evans, R.; Chantrel, R. W. (2020). Atomistic simulations of a-Fe/Nd2Fe14B magnetic core/shell nanocomposites with enhanced energy product for high temperature permanent magnet applications. AIP, Vol. 127: 133901, AIP
Arapan, S.; Nieves, P.; Cuesta-López, S.; Gusenbauer, M.; Oezelt, H.; Schrefl, T.; Delczeg-Czirjak, E. K.; Herper, H. C.; Eriksson, O. (2019). Influence of antiphase boundary of the MnAl t-phase on the energy product. Physical Review Materials, Vol. 3, iss. 6: 064412
Dirba, I.; Li, J.; Sepehri-Amin, H.; Ohkubo, T.; Schrefl, T.; Hono, K. (2019). Single-Crystalline SmFe12-Based Microparticles with High Roundness Fabricated by Jet-Milling. Journal of Alloys and Compounds, 804: 155-162
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
Sepehri-Amin, H.; Dirba, I.; Tang, X.; Ohkubo, T.; Schrefl, T.; Gutfleisch, O.; Hono, K. (2019). Development of High Coercivity Anisotropic Nd-Fe-B/Fe Nanocomposite Powder Using Hydrogenation Disproportionation Desorption Recombination Process. Acta Materialia, 175: 276-285
Skelland, C.; Ostler, T.; Westmoreland, S.C.; Evans, R.F.L.; Chantrell, R.W.; Yano, M.; Shoji, T.; Kato, A.; Winkelhofer, M., Zimanyi, G.; Fischbacher, J.; Schrefl, T.; Hrkac, G. (2019). The Effect of Interstitial Nitrogen Addition on the Structural Properties of Supercells of NdFe12-xTix. IEEE Transactions on Magnetics, Vol. 55, iss. 10: 6700205
Soderznik, M.; Li, J.; Liu, L.; Sepehri-Amin, H.; Ohkubo, T.; Sakuma, N.; Shoji, T.; Kato, A.; Schrefl, T.; Hono, K. (2019). Magnetization reversal process of anisotropic hot-deformed magnets observed by magneto-optical Kerr effect microscopy. Journal of Alloys and Compounds, 771: 51/https://doi.org/10.1016/j.jallcom.2018.08.231
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
Vorträge (Auszug Forschungsdatenbank)
Machine learning, micromagnetics and magnet design
University of York, Computational Magnetism, 02.12.2020
Finding weak spots in permanent magnets through micromagnetism and machine learning
CMD2020GEFES, 02.09.2020
Computational Design of Bulk Permanent Magnet
TMS2020, 25.02.2020
Bridging the gap between biomedical applications and material sciences
3rd Workshop on Modelling of Biological Cells, Fluid Flow and Microfluidics, 11.02.2020
Advancing permanent magnets by machine learning
Meeting of CRC/TRR 270 - Hysteresis design of magnetic materials for efficient energy conversion, 05.02.2020
Computer based optimization of permanent magnets
Seminar, CEA, Grenoble, 17.12.2019
Learning Magnetization Dynamics
64th Annual Conference on Magnetism and Magnetic Material, Las Vegas, USA, 07.11.2019
Machine learning for permanent magnet optimization
2019 - Sustainable Industrial Processing Summit & Exhibition, Paphos, Cryprus, 26.10.2019
Micromagnetic optimization of permanent magnetic materials
27th International Conference on Materials and Technology, Portoroz, Slovenia, 17.10.2019
Computational optimization of permanent magnets
Ruhr Symposium 2019, Duisburg, Germany, 09.10.2019
Modelling of microstructure for optimum hard magnetic properties
MMA’19: Magnetic Materials and Applications, Milano, Italy, 18.09.2019
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
Bridging the gap between academic software and industry needs - different business models for engaging with industry
EMMC Workshop, Cambridge, UK, 21.05.2019
Microstructure optimization for rare-earth efficient permanent magnets
DPG Spring Meeting, Regensburg, Germany, 01.04.2019
Magnetic materials modelling – Bridging the gap between academic software and industry needs
EMMC International Workshop 2019, Vienna, Austria, 27.02.2019
Simulation of permanent magnets across the length scales
Functional Materials Colloquium, TU Darmstadt, 26.10.2018
Automated micromagnetic simulations from Electron Backscatter Diffraction data
JEMS 2018, 05.09.2018
Computational design of rare-earth reduced permanent magnets
Rare-earth and future permanent magnets and their applications REPM2018, Beijing, China, 28.08.2018
Energy Barriers in Nano-structured Permanent Magnets
Conference on Mathematical Aspects of Materials Science, Portland Oregon, USA, 10.07.2018