E-LIB Suche - Ergebnisse für: Gusenbauer, Markus

1

Image-based prediction and optimization of hysteresis prope..:

Kovacs, Alexander ; Exl, Lukas ; Kornell, Alexander...
Journal of Magnetism and Magnetic Materials. 596 (2024) - p. 171937 , 2024

Link: https://doi.org/10.1016/..

2

Defect manipulation for the coercivity enhancement of Nd-Fe..:

Ali, Qais ; Fischbacher, Johann ; Kovacs, Alexander...
Physica B: Condensed Matter. 678 (2024) - p. 415759 , 2024

Link: https://doi.org/10.1016/..

3

Physics-informed machine learning combining experiment and ..:

Kovacs, Alexander ; Fischbacher, Johann ; Oezelt, Harald...
Frontiers in Materials. 9 (2023) - p. , 2023

Link: https://doi.org/10.3389/..

4

Tuning the coercivity of permanent magnets by the combined ..:

, In: 2023 IEEE International Magnetic Conference - Short Papers (INTERMAG Short Papers),

Ali, Qais ; Fischbacher, Johann ; Kovacs, Alexander... - p. 1-2 , 2023

Link: https://doi.org/10.1109/..

5

Nanoscale chemical segregation to twin interfaces in τ-MnAl..:

Zhao, Panpan ; Gusenbauer, Markus ; Oezelt, Harald...
Journal of Materials Science & Technology. 134 (2023) - p. 22-32 , 2023

Link: https://doi.org/10.1016/..

6

Full-spin-wave-scaled stochastic micromagnetism for mesh-in..:

Oezelt, Harald ; Qu, Luman ; Kovacs, Alexander...
npj Computational Materials. 8 (2022) 1 - p. , 2022

Link: https://doi.org/10.1038/..

7

Magnetostatics and micromagnetics with physics informed neu..:

Kovacs, Alexander ; Exl, Lukas ; Kornell, Alexander...
Journal of Magnetism and Magnetic Materials. 548 (2022) - p. 168951 , 2022

Link: https://doi.org/10.1016/..

8

Conditional physics informed neural networks:

Kovacs, Alexander ; Exl, Lukas ; Kornell, Alexander...
Communications in Nonlinear Science and Numerical Simulation. 104 (2022) - p. 106041 , 2022

Link: https://doi.org/10.1016/..

9

P-type cobaltite oxide spinels enable efficient electrocata..:

Doppelbauer, David ; Aljabour, Abdalaziz ; Coskun, Halime...
Materials Advances. 2 (2021) 16 - p. 5494-5500 , 2021

Link: https://doi.org/10.1039/..

10

Extracting local nucleation fields in permanent magnets usi..:

Gusenbauer, Markus ; Oezelt, Harald ; Fischbacher, Johann...
npj Computational Materials. 6 (2020) 1 - p. , 2020

Link: https://doi.org/10.1038/..

11

Computational Design of Rare-Earth Reduced Permanent Magnet:

Kovacs, Alexander ; Fischbacher, Johann ; Gusenbauer, Markus...
Engineering. 6 (2020) 2 - p. 148-153 , 2020

Link: https://doi.org/10.1016/..

12

Preconditioned nonlinear conjugate gradient method for micr..:

Exl, Lukas ; Fischbacher, Johann ; Kovacs, Alexander...
Computer Physics Communications. 235 (2019) - p. 179-186 , 2019

Link: https://doi.org/10.1016/..

13

Learning magnetization dynamics:

Kovacs, Alexander ; Fischbacher, Johann ; Oezelt, Harald...
Journal of Magnetism and Magnetic Materials. 491 (2019) - p. 165548 , 2019

Link: https://doi.org/10.1016/..

14

Automated meshing of electron backscatter diffraction data ..:

Gusenbauer, Markus ; Fischbacher, Johann ; Kovacs, Alexander...
Journal of Magnetism and Magnetic Materials. 486 (2019) - p. 165256 , 2019

Link: https://doi.org/10.1016/..

15

Cell Damage Index as Computational Indicator for Blood Cell..:

Gusenbauer, Markus ; Tóthová, Renáta ; Mazza, Giulia...
Artificial Organs. 42 (2018) 7 - p. 746-755 , 2018

Link: https://doi.org/10.1111/..