Qais Ali

Publikationen (Auszug Forschungs­datenbank)

Moustafa, H.; Kovacs, A.; Fischbacher, J.; Gusenbauer, M.; Ali, Q.; Breth, L.; Schrefl, T.; Özelt, H. (2025). Graph neural networks to predict coercivity and maximum energy product of hard magnetic microstructures. Journal of Magnetism and Magnetic Materials, Vol. 634: 1-11

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

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

Kovacs, A.; Fischbacher, J.; Oezelt, H.; Kornell, A.; Ali, Q.; Gusenbauer, M.; Yano, M.; Sakuma, N.; Kinoshita, A.; Shoji, T.; Kato, A.; Hong, Y.; Grenier, S.; Devillers, T.; Dempsey, N. M.; Fukushima, T.; Akai, H.; Kawashima, N.; Miyake, T.; Schrefl, T. (2023). Physics-Informed Machine Learning Combining Experiment and Simulation for the Design of Neodymium-Iron-Boron Permanent Magnets with Reduced Critical-Elements Content. Frontiers in Materials 2023, Vol. 9: 1-19

Ali, Q.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Schrefl, T. (2023). Tuning the coercivity of permanent magnets by the combined effect of field angle and defect thickness. In: IEEE, proceedings in 2023 IEEE International Magnetic Conference - Short Papers (INTERMAG Short Papers): 1-2, IEEE, Sendai, Japan

Ali, Q.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Yano, M.; Sakuma, N.; Kinoshita, A.; Shoji, T.; Kato, A.; Schrefl, T. (2023). Benchmarking for systematic coarse-grained micromagnetics. In: HMM, proceedings in 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023): 1, HMM, WIen

Kovacs, A.; Fischbacher, J.; Oezelt, H.; Ali, Q.; Gusenbauer, M.; Schrefl, T. (2023). Finite Hex Element Adaptive Mesh Refinement of Demagnetizing Field Computation. In: HMM, proceedings in 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023): 1, HMM, Wien

Ali, Q.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Moustafa, H.; Böhm, D.; Breth, L.; Schrefl, T. (2023). Defect Manipulation for the Coercivity Enhancement of Nd-Fe-B Permanent Magnets. SSRN, 2023: 4628986, Elesevier

Vorträge (Auszug Forschungs­datenbank)

Multi-scale micromagnetics and AI for hard magnets

RICAM 2025, 27.11.2025

Modelling Tb-diffused sintered magnets using reduced order micromagnetics

JEMS 2025, 28.08.2025

Machine learning links X-ray diffraction to coercivity and phase analysis

REPM 2025, 29.07.2025

Defect tailored Nd-Fe-B permanent magnets with improved coercivity

MSE 2024, 24.09.2024

Machine learning Aids high Throughput Material Characterization

CIMTEC 2024, 23.06.2024

Benchmarking for systematic coarse-grained micromagnetics

13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023), 05.06.2023

Tuning the coercivity of permanent magnets by the combined effect of field angle and defect thickness

IEEE International Magnetics Conference INTERMAG 2023, 19.05.2023

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