Johann Fischbacher
Donau-Universität Krems
H-index: 20
Europe-Austria
Top articles of Johann Fischbacher
Machine learning based prediction of mechanical properties of WC-Co cemented carbides from magnetic data only
International Journal of Refractory Metals and Hard Materials
2024/6/1
Johann Fischbacher
H-Index: 11
Thomas Schrefl
H-Index: 36
Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning
Journal of Magnetism and Magnetic Materials
2024/4/15
Lukas Exl
H-Index: 12
Johann Fischbacher
H-Index: 11
Markus Gusenbauer
H-Index: 9
Akira Kato
H-Index: 14
Thomas Schrefl
H-Index: 36
Defect manipulation for the coercivity enhancement of Nd-Fe-B permanent magnets
Physica B: Condensed Matter
2024/2/13
Reduced order model for hard magnetic films
AIP Advances
2024/2/1
Structural and micromagnetic modeling of the magnetic binder phase in WC-Co cemented carbides
2023/5/15
Johann Fischbacher
H-Index: 11
Thomas Schrefl
H-Index: 36
Tuning the coercivity of permanent magnets by the combined effect of field angle and defect thickness
2023/5/15
FORC diagram features of Co particles due to reversal by domain nucleation
Journal of Magnetism and Magnetic Materials
2023/4/1
Johann Fischbacher
H-Index: 11
Thomas Schrefl
H-Index: 36
Efficient optimization approach for designing power device structure using machine learning
Japanese Journal of Applied Physics
2023/2/6
Johann Fischbacher
H-Index: 11
Thomas Schrefl
H-Index: 36
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
2023/1/18
Coercivity limits in nanoscale ferromagnets
Physical Review B
2022/6/24
Description of collective magnetization processes with machine learning models
arXiv preprint arXiv:2205.03708
2022/5/7
Lukas Exl
H-Index: 12
Johann Fischbacher
H-Index: 11
Markus Gusenbauer
H-Index: 9
Akira Kato
H-Index: 14
Thomas Schrefl
H-Index: 36
Magnetostatics and micromagnetics with physics informed neural networks
Journal of Magnetism and Magnetic Materials
2022/4/15
Exploring the hysteresis properties of nanocrystalline permanent magnets using deep learning
arXiv preprint arXiv:2203.16676
2022/3/30
Lukas Exl
H-Index: 12
Johann Fischbacher
H-Index: 11
Markus Gusenbauer
H-Index: 9
Akira Kato
H-Index: 14
Thomas Schrefl
H-Index: 36
Full-spin-wave-scaled stochastic micromagnetism for mesh-independent simulations of ferromagnetic resonance and reversal
npj Computational Materials
2022/3/8
Conditional physics informed neural networks
Communications in Nonlinear Science and Numerical Simulation
2022/1/1
Lukas Exl
H-Index: 12
Johann Fischbacher
H-Index: 11
Markus Gusenbauer
H-Index: 9
Akira Kato
H-Index: 14
Thomas Schrefl
H-Index: 36
First-principles calculations of magnetic properties for analysis of magnetization processes in rare-earth permanent magnets
IEEE Transactions on Magnetics
2015/6/1
Full-Spin-Wave-Scaled Finite Element Stochastic Micromagnetism: Mesh-Independent FUSSS LLG Simulations of Ferromagnetic Resonance and Reversal
arXiv preprint arXiv:2108.10582
2021/8/24
Twins–A weak link in the magnetic hardening of ThMn12-type permanent magnets
Acta Materialia
2021/8/1
Johann Fischbacher
H-Index: 11
Fernando Maccari
H-Index: 6
Gino Hrkac
H-Index: 22
Thomas Schrefl
H-Index: 36
Oliver Gutfleisch
H-Index: 49
Insights into MnAl-C nano-twin defects by micromagnetic characterization
Journal of Applied Physics
2021/3/7
Nanocrystalline Sm-based 1: 12 magnets
Acta Materialia
2020/11/1
Konstantin Skokov
H-Index: 35
Oliver Gutfleisch
H-Index: 49
Johann Fischbacher
H-Index: 11
Thomas Schrefl
H-Index: 36
