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

Bhole, M.; Sauter. T.; Semper, S.; Kastner, W. (2025). Why to Fail Fast and Often: A Strategy for OT Safety and Security Evaluation. IEEE Access (Early Access), 1: 1-1

Hosseini, A.-M.; Kastner, W.; Sauter, T. (2025). Leveraging LLMs and Knowledge Graphs to Design Secure Automation Systems. IEEE Open Journal of the Industrial Electronics Society, Vol. 6: 380-395

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

Bhole, M.; Sauter, T.; Kastner, W. (2025). Enhancing Industrial Cybersecurity: Insights From Analyzing Threat Groups and Strategies in Operational Technology Environments. IEEE Open Journal of the Industrial Electronics Society, Vol. 6: 145-157

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 Journals, xxx: https://doi.org/10.xxxx

Maghsoomi, S.; Walochnik, J.; Brandl, M.; Pham, M.-L. Walochnik, J.; Brandl, M.; Pham, M.-L. Maghsoomi, S.; Walochnik, J.; Brandl, M.; Pham, M.-L. (2024). A Novel Methylene Blue Indicator-Based Aptasensor for Rapid Detection of Pseudomonas aeruginosa. International Journal of Molecular Sciences-MDPI, 25: 11682

Efkarpidis, N.; Imoscopi, S.; Bratukhin, A.; Brännvall, R.; Franzl, G.; Leopold, T. (2024). Proactive Scheduling of Mixed Energy Resources At Different Grid Levels. IEEE Transactions on Sustainable Energy, Vol. 15, iss. 2: 952 - 963

Mehr laden
von
Zum Anfang der Seite