Thomas Schrefl

Thomas Schrefl

Donau-Universität Krems

H-index: 60

Europe-Austria

About Thomas Schrefl

Thomas Schrefl, With an exceptional h-index of 60 and a recent h-index of 36 (since 2020), a distinguished researcher at Donau-Universität Krems, specializes in the field of micromagnetics.

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

Magnonic inverse-design processor

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

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

Thomas Schrefl Information

University

Donau-Universität Krems

Position

Center for Integrated Sensor Systems

Citations(all)

15121

Citations(since 2020)

4655

Cited By

12461

hIndex(all)

60

hIndex(since 2020)

36

i10Index(all)

245

i10Index(since 2020)

102

Email

University Profile Page

Donau-Universität Krems

Thomas Schrefl Skills & Research Interests

micromagnetics

Top articles of Thomas Schrefl

Title

Journal

Author(s)

Publication Date

Magnonic inverse-design processor

arXiv preprint arXiv:2403.17724

Noura Zenbaa

Claas Abert

Fabian Majcen

Michael Kerber

Rostyslav Serha

...

2024/3/26

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

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

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

Materials Informatics for the Development and Discovery of Future Magnetic Materials

IEEE Magnetics Letters

Ryotaro Okabe

L Mingda

Yuma Iwasaki

Nicolas Regnault

Claudia Felser

...

2023/9/29

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 and stray field computation with application to micromagnetic energy minimization

Journal of Magnetism and Magnetic Materials

Sebastian Schaffer

Thomas Schrefl

Harald Oezelt

Alexander Kovacs

Leoni Breth

...

2023/6/15

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

Structure and crystallographic properties of multi-material coatings deposited in a combinatorial sputter plant compared to simulations from the machine level to microstructure

David Böhm

Thomas Schrefl

Andreas Eder

Christoph Eisenmenger-Sittner

2023/5/22

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

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

Micromagnetic Modelling of Advanced Recording Structures

D Suess

F Dorfbauer

I Kalcher

T Schrefl

J Fidler

2022

See List of Professors in Thomas Schrefl University(Donau-Universität Krems)

Thomas Schrefl FAQs

What is Thomas Schrefl's h-index at Donau-Universität Krems?

The h-index of Thomas Schrefl has been 36 since 2020 and 60 in total.

What are Thomas Schrefl's top articles?

The articles with the titles of

Magnonic inverse-design processor

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

Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep 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 Thomas Schrefl at Donau-Universität Krems.

What are Thomas Schrefl's research interests?

The research interests of Thomas Schrefl are: micromagnetics

What is Thomas Schrefl's total number of citations?

Thomas Schrefl has 15,121 citations in total.