Johann Fischbacher

Johann Fischbacher

Donau-Universität Krems

H-index: 20

Europe-Austria

About Johann Fischbacher

Johann Fischbacher, With an exceptional h-index of 20 and a recent h-index of 18 (since 2020), a distinguished researcher at Donau-Universität Krems, specializes in the field of micromagnetism, permanent magnets.

His recent articles reflect a diverse array of research interests and contributions to the field:

Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning

Defect manipulation for the coercivity enhancement of Nd-Fe-B permanent magnets

Reduced order model for hard magnetic films

Machine learning based prediction of mechanical properties of WC-Co cemented carbides from magnetic data only

Efficient optimization approach for designing power device structure using machine learning

Physics-informed machine learning combining experiment and simulation for the design of neodymium-iron-boron permanent magnets with reduced critical-elements content

Structural and micromagnetic modeling of the magnetic binder phase in WC-Co cemented carbides

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

Johann Fischbacher Information

University

Donau-Universität Krems

Position

Department for Integrated Sensor Systems

Citations(all)

961

Citations(since 2020)

799

Cited By

445

hIndex(all)

20

hIndex(since 2020)

18

i10Index(all)

23

i10Index(since 2020)

21

Email

University Profile Page

Donau-Universität Krems

Johann Fischbacher Skills & Research Interests

micromagnetism

permanent magnets

Top articles of Johann Fischbacher

Title

Journal

Author(s)

Publication Date

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

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

Machine learning based prediction of mechanical properties of WC-Co cemented carbides from magnetic data only

International Journal of Refractory Metals and Hard Materials

Hubert Brueckl

Leoni Breth

Johann Fischbacher

Thomas Schrefl

Saskia Kuehrer

...

2024/6/1

Efficient optimization approach for designing power device structure using machine learning

Japanese Journal of Applied Physics

Hayate Yamano

Alexander Kovacs

Johann Fischbacher

Katsunori Danno

Yusuke Umetani

...

2023/2/6

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

Structural and micromagnetic modeling of the magnetic binder phase in WC-Co cemented carbides

Leoni Breth

Johann Fischbacher

Alexander Kovacs

Harald Oezelt

Thomas Schrefl

...

2023/5/15

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

FORC diagram features of Co particles due to reversal by domain nucleation

Journal of Magnetism and Magnetic Materials

Leoni Breth

Johann Fischbacher

Alexander Kovacs

Harald Oezelt

Thomas Schrefl

...

2023/4/1

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

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

Coercivity limits in nanoscale ferromagnets

Physical Review B

Jeotikanta Mohapatra

J Fischbacher

M Gusenbauer

MY Xing

J Elkins

...

2022/6/24

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

Twins–A weak link in the magnetic hardening of ThMn12-type permanent magnets

Acta Materialia

Semih Ener

Konstantin P Skokov

Dhanalakshmi Palanisamy

Thibaut Devillers

Johann Fischbacher

...

2021/8/1

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

First-principles calculations of magnetic properties for analysis of magnetization processes in rare-earth permanent magnets

IEEE Transactions on Magnetics

Vladimir V Sokolovskiy

Vasiliy D Buchelnikov

Markus E Gruner

Peter Entel

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

Harald Oezelt

Luman Qu

Alexander Kovacs

Johann Fischbacher

Markus Gusenbauer

...

2021/8/24

Atomistic study on the pressure dependence of the melting point of NdFe12

AIP Advances

C Skelland

SC Westmoreland

Thomas Ostler

RFL Evans

RW Chantrell

...

2020/2/1

See List of Professors in Johann Fischbacher University(Donau-Universität Krems)

Johann Fischbacher FAQs

What is Johann Fischbacher's h-index at Donau-Universität Krems?

The h-index of Johann Fischbacher has been 18 since 2020 and 20 in total.

What are Johann Fischbacher's top articles?

The articles with the titles of

Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning

Defect manipulation for the coercivity enhancement of Nd-Fe-B permanent magnets

Reduced order model for hard magnetic films

Machine learning based prediction of mechanical properties of WC-Co cemented carbides from magnetic data only

Efficient optimization approach for designing power device structure using machine learning

Physics-informed machine learning combining experiment and simulation for the design of neodymium-iron-boron permanent magnets with reduced critical-elements content

Structural and micromagnetic modeling of the magnetic binder phase in WC-Co cemented carbides

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

...

are the top articles of Johann Fischbacher at Donau-Universität Krems.

What are Johann Fischbacher's research interests?

The research interests of Johann Fischbacher are: micromagnetism, permanent magnets

What is Johann Fischbacher's total number of citations?

Johann Fischbacher has 961 citations in total.