Liu, J. P.; Mohapatra, J.; Joshi, P.; Abbas, H.; Gusenbauer, M.; Bian, K.; Lu, P.; Fan, H.; Schrefl, T. (2025). Superstructure magnetic anisotropy in Fe3O4 nanoparticle chains. Nature Communications, Vol. 16:5723: 1-9
Schaffer, S.; Schrefl, T.; Oezelt, H.; Mauser, N. J.; Exl, L. (2025). Physics aware machine learning for micromagnetic energy minimization: Recent algorithmic developments. Computer Physics Communications, Vol. 315: 1-19 (109719)
Sandoval, C.; Miguel, A.; Jurczyk, J.; Skoric, L.; Sanz-Hernández, D.; Leo, N.; Kovacs, A.; Schrefl, T.; Hierro-Rodríguez, A.; Fernández-Pacheco, A. (2025). Remote-sensing based control of 3D magnetic fields using machine learning for in operando applications. Journal of Applied Physics, Vol. 137, no 11: 113905-1 - 113905-7
Zenbaa, N.; Abert, C.; Majcen, F.; Kerber, M.; Serha, R.; Knauer, S.; Wang, Q.; Schrefl, T.; Suess, D.; Chumak, A. (2025). A universal inverse-design magnonic device. Nature Electronics, Vol. 1: 1
Luca, S.; Fischbacher, J.; Flament, C.; Sedek, R.; de Rango, P.; Gomez Eslava, G.; Schrefl, T. (2025). Microstructure and magnetic properties of the Cu-rich Nd(Fe,Mo)12 strip cast flakes. Journal of Alloys and Compounds, 1010: 178039
de Moraes, I. G.; Fischbacher, J.; Hong, Y.; Naud, C.; Okuno, H.; Masseboeuf, A.; Devillers, T.; Schrefl, T.; Dempsey, N. M. (2024). Nanofabrication, characterisation and modelling of soft-in-hard FeCo–FePt magnetic nanocomposites. Acta Materialia, Vol. 274: 119970
Gusenbauer, M.; Stanciu, S.; Kovacs, A.; Oezelt, H.; Fischbacher, J.; Zhao, P.; Woodcock, T. G.; Schrefl, T.; Stanciu S. (2024). Micromagnetic study of grain junctions in MnAl-C containing intergranular inclusions. Elsevier Journal of Magnetism and Magnetic Materials, Vol. 606: 172390
Ali, Q.; Fischbacher, J.; Kovacs, A.; Özelt, H.; Gusenbauer, M.; Moustafa, H.; Böhm, D.; Breth, L.; Schrefl, T. (2024). Defect manipulation for the coercivity enhancement of Nd-Fe-B permanent magnets. Physica B: Condensed Matter, Vol. 678: 415759
Kovacs, A.; Exl, L.; Kornell, A.; Fischbacher, J.; Hovorka, M.; Gusenbauer, M.; Breth, L.; Oezelt, H.; Yano, M.; Sakuma, N.; Kinoshita, A.; Shoji, T.; Kato, A.; Schrefl, T. (2024). Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning. Journal of Magnetism and Magnetic Materials, Vol. 596: 171937
Moustafa, H.; Kovacs, A.; Fischbacher, J.; Gusenbauer, M.; Ali, Q.; Breth, L.; Hong, Y.; Rigaut, W.; Devillers, T.; Dempsey, N. M.; Schrefl, T.; Özelt, H. (2024). Reduced Order Model for Hard Magnetic Films. AIP Advances, Vol. 14, iss. 2: 025001-1 bis 025001-5