Markus Gusenbauer
Donau-Universität Krems
H-index: 16
Europe-Austria
Top articles of Markus Gusenbauer
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Defect manipulation for the coercivity enhancement of Nd-Fe-B permanent magnets | Physica B: Condensed Matter | Qais Ali Johann Fischbacher Alexander Kovacs Harald Oezelt Markus Gusenbauer | 2024/2/13 |
Reduced order model for hard magnetic films | AIP Advances | H Moustafa A Kovacs J Fischbacher M Gusenbauer Q Ali | 2024/2/1 |
Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning | Journal of Magnetism and Magnetic Materials | Alexander Kovacs Lukas Exl Alexander Kornell Johann Fischbacher Markus Hovorka | 2024/4/15 |
Tuning the coercivity of permanent magnets by the combined effect of field angle and defect thickness | Qais Ali Johann Fischbacher Alexander Kovacs Harald Oezelt Markus Gusenbauer | 2023/5/15 | |
Nanoscale chemical segregation to twin interfaces in τ-MnAl-C and resulting effects on the magnetic properties | Journal of Materials Science & Technology | Panpan Zhao Markus Gusenbauer Harald Oezelt Daniel Wolf Thomas Gemming | 2023/1/20 |
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 | Alexander Kovacs Johann Fischbacher Harald Oezelt Alexander Kornell Qais Ali | 2023/1/18 |
Coercivity limits in nanoscale ferromagnets | Physical Review B | Jeotikanta Mohapatra J Fischbacher M Gusenbauer MY Xing J Elkins | 2022/6/24 |
Conditional physics informed neural networks | Communications in Nonlinear Science and Numerical Simulation | Alexander Kovacs Lukas Exl Alexander Kornell Johann Fischbacher Markus Hovorka | 2022/1/1 |
Description of collective magnetization processes with machine learning models | arXiv preprint arXiv:2205.03708 | Alexander Kornell Lukas Exl Leoni Breth Johann Fischbacher Alexander Kovacs | 2022/5/7 |
Magnetostatics and micromagnetics with physics informed neural networks | Journal of Magnetism and Magnetic Materials | Alexander Kovacs Lukas Exl Alexander Kornell Johann Fischbacher Markus Hovorka | 2022/4/15 |
Exploring the hysteresis properties of nanocrystalline permanent magnets using deep learning | arXiv preprint arXiv:2203.16676 | Alexander Kovacs Lukas Exl Alexander Kornell Johann Fischbacher Markus Hovorka | 2022/3/30 |
Full-spin-wave-scaled stochastic micromagnetism for mesh-independent simulations of ferromagnetic resonance and reversal | npj Computational Materials | Harald Oezelt Luman Qu Alexander Kovacs Johann Fischbacher Markus Gusenbauer | 2022/3/8 |
Full-Spin-Wave-Scaled Finite Element Stochastic Micromagnetism: Mesh-Independent FUSSS LLG Simulations of Ferromagnetic Resonance and Reversal | arXiv preprint arXiv:2108.10582 | Harald Oezelt Luman Qu Alexander Kovacs Johann Fischbacher Markus Gusenbauer | 2021/8/24 |
Insights into MnAl-C nano-twin defects by micromagnetic characterization | Journal of Applied Physics | M Gusenbauer A Kovacs H Oezelt J Fischbacher P Zhao | 2021/3/7 |
永磁材料稀土减量化的计算设计 | Engineering | Alexander Kovacs Johann Fischbacher Markus Gusenbauer Harald Oezelt Heike C Herper | 2020 |
Extracting local nucleation fields in permanent magnets using machine learning | npj Computational Materials | Markus Gusenbauer Harald Oezelt Johann Fischbacher Alexander Kovacs Panpan Zhao | 2020/7/7 |
Computational design of rare-earth reduced permanent magnets | Engineering | Alexander Kovacs Johann Fischbacher Markus Gusenbauer Harald Oezelt Heike C Herper | 2020/2/1 |
