Leoni Breth

Dr. Leoni Breth

Center for Modelling and Simulation

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About the person

Dr. Leoni Breth completed her undergraduate studies in Technical Physics at the Vienna University of Technology with a focus on Condensed Matter Physics. She continued her work on magnetoresistive sensors during her PhD as a research assistant at the Austrian Institute of Technology under the lead of Prof. Hubert Brueckl. Additionally to the fabrication of microstructured multilayer sensors she also developed a theoretical model related to switching field distributions based on thermal fluctuations in cooperation with Prof. Dieter Suess (Vienna University of Technology, now at University of Vienna).  In her subsequent engagement in Prof. Suess’s group she simulated switching field distributions for exchange-couple multilayer hard disk media at elevated temperatures. After graduation as PhD with distinction in October 2016 she joined Prof. Fangohr and Dr. Ondrej Hovorka at the University of Southampton, UK for six months. In a joint project with the University of Oxford among others she contributed to the modelling of skyrmions in bulk B20 materials. After a little more than two years in the development of safety-critical software at TTTech-Auto in Vienna, Dr. Leoni Breth is now a project assistant at the Department of Integrated Sensor Systems sind mid May 2020. In a FFG-funded project she works out how measurements of First-Order-Reversal Curves (FORCs) can be used to identify relevant parameters for hard metals by using Artificial Intelligence (AI) algorithms.

Articles

  • L. Breth, D. Suess, C. Vogler, B. Bergmair, M. Fuger, R. Heer, H. Brueckl: Thermal switching field distribution of a single domain particle for field-dependent attempt frequency, Journal of Applied Physics 112, 023903 (2012)
  • L. Breth, T. Dimopoulos, J. Schotter, K. Rott, H. Brückl and D. Suess: Fluxgate principle applied to a magnetic tunnel junction for weak magnetic field sensing, IEEE Transactions on Magnetics 47, 1549 (2011)
  • D. Suess, C. Vogler, C. Abert, F. Bruckner, R. Windl, L. Breth, and J. Fidler: Fundamental limits in heat-assisted magnetic recording and methods to overcome it with exchange spring structures, Journal of Applied Physics 117, 163913 (2015)
  • T. Huber, B. Bergmair, C. Vogler, F. Bruckner, L. Breth, W. Hetaba, G. Hrkac and D. Suss: Ultra-Low-Cost RFID Based on Soft Magnetic Ribbons, IEEE Transactions on Magnetics 50, 1 (2014)
  • D. Suess, L. Breth, J. Lee, M. Fuger, C. Vogler, F. Bruckner, B. Bergmair, T. Huber, J. Fidler and T. Schrefl: Calculation of coercivity of magnetic nanostructures at finite temperatures, Phys. Rev. B 84, 224421 (2011)

 

Conference contributions

  • M. Beg, L. Breth, D.I. Cortes, R. Pepper, T. Kluyver, G. Downing, T. Hesjedal, P. Hatton, T. Lancaster, G. Balakrishnan, O. Hovorka and H. Fangohr: Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii-Moriya interaction, MMM Conference Pittsburgh, 6. - 10. Nov. 2017
  • L. Breth, D.Suess and H. Brueckl: Detection limit of the TMR fluxgate sensor: Is pT-resolution feasible with a magnetoresistance based technology?, talk at the Joint European Magnetics Symposia JEMS 2016, Glasgow (UK), August 21 - 26 2016
  • L. Breth, R. Heer and H. Brueckl: Fluxgate magnetometer based on a tunnelling magnetoresistance element, talk at Mikroelektroniktagung ME2012 (Best Paper Award), Vienna, April 23 - 24 2012
  • L. Breth, D. Suess, C. Vogler, B. Bergmair, M. Fuger, R. Heer, H. Brueckl: Switching of single-domain magnetic particles under the influence of thermal fluctuations, talk at the Spring Meeting of the German Physics Association (DPG Frühjahrstagung) in Berlin, March 25 - 30 2012
  • L. Breth, D. Suess, R. Heer, T. Dimopoulos, H. Brueckl: Thermally assisted switching on intermediate timescales in magnetic tunnel junctions, talk at the Magnetism and Magnetic Materials Conference (MMM) in Scottsdale (USA), Oct 30 – Nov 3 2011
  • L. Breth, T. Dimopoulos, R. Heer, J. Schotter, K. Rott, D. Süss, H., Brueckl: Noise characteristics of magnetoresistive fluxgates for weak magnetic field sensing, talk at the Spring Meeting of the German Physics Association (DPG Frühjahrstagung) in Dresden, March 13 - 18 2011

Posters

  • L. Breth, D. Suess, R. Heer, T. Dimopoulos, H. Brueckl: Effect of thermally assisted switching in a tunneling magnetoresistance fluxgate sensor, poster at the IEEE Magnetics Society Summer School in New Orleans (USA), May 22 - 27 2011
  • L. Breth, D. Suess, T. Dimopoulos, J. Schotter, H. Brueckl: Ultrasensitive magnetometer for biomedical applications, poster at the NANOSENS Meeting, Vienna, Dec 2 - 3 2010
  • L. Breth, D. Suess, T. Dimopoulos, J. Schotter, H. Brueckl: Fluxgate principle applied to a magnetic tunnel junction for weak magnetic field sensing, poster at the Symposium on Magnetic Multilayers (MML) in Berkeley (USA), Sept 19 - 24 2010

Projects (Extract Research Database)

Running projects

Data driven magnet design through combinatorial synthesis and micromagnetic graph networks

Duration: 01/03/2023–31/03/2026
Principle investigator for the project (University for Continuing Education Krems): Harald Özelt
Funding: FWF

Completed projects

Artificial intelligence and FORC analysis in Carbide production

Duration: 01/04/2020–31/03/2023
Principle investigator for the project (University for Continuing Education Krems): Hubert Brückl
Funding: FFG

Publications (Extract Research Database)

Ali, Q.; Fischbacher, J.; Kovacs, A.; Özelt, H.; Gusenbauer, M.; Moustafa, H.; Böhm, D.; Breth, L.; Schrefl, T. (2024). Defect manipulation for the coercivity enhancement of Nd-Fe-B permanent magnets. Physica B: Condensed Matter, Vol. 678: 415759

Brueckl, H.; Breth, L.; Fischbacher, J.; Schrefl, T.; Kuehrer, S.; Pachlhofer, J.; Schwarz, M.; Weirather, T.; Czettl, C. (2024). Machine learning based prediction of mechanical properties of WC-Co cemented carbides from magnetic data only. International Journal of Refractory Metals and Hard Materials, Vol. 121: 106665

Kovacs, A.; Exl, L.; Kornell, A.; Fischbacher, J.; Hovorka, M.; Gusenbauer, M.; Breth, L.; Oezelt, H.; Yano, M.; Sakuma, N.; Kinoshita, A.; Shoji, T.; Kato, A.; Schrefl, T. (2024). Image-based prediction and optimization of hysteresis properties of nanocrystalline permanent magnets using deep learning. Journal of Magnetism and Magnetic Materials, Vol. 596: 171937

Moustafa, H.; Kovacs, A.; Fischbacher, J.; Gusenbauer, M.; Ali, Q.; Breth, L.; Hong, Y.; Rigaut, W.; Devillers, T.; Dempsey, N. M.; Schrefl, T.; Özelt, H. (2024). Reduced Order Model for Hard Magnetic Films. AIP Advances, Vol. 14, iss. 2: 025001-1 bis 025001-5

Breth, L.; Fischbacher, J.; Kovacs, A.; Özelt, H.; Schrefl, T.; Brückl, H.; Czettl, C.; Kührer, S.; Pachlhofer, J., Schwarz, M. (2023). FORC diagram features of Co particles due to reversal by domain nucleation. Journal of Magnetism and Magnetic Materials 571 (2023) 170567 Available online 24 February 2023 0304-8853/© 2023 Elsevier B.V. All rights reserved.Contents lists available at ScienceDirect Journal of Magnetism and Magnetic Materials, Vol. 571: 1-6

Breth, L.; Schrefl, T.; Fischbacher, J.; Oezelt, H.; Kovacs, A.; Czettl, C.; Pachlhofer, J.; Schwarz, M.; Brueckl, H. (2023). Micromagnetic simulations as a tool for bottom-up explainability of FORC diagrams. Proceedings in AIM IEEE Advances in Magnetics 2023, Vol. 1: 1

Schaffer, S.; Schrefl, T.; Oezelt, H.; Kovacs, A.; Breth, L.; Mauser, N.J.; Suess, D.; Exl, L. (2023). Physics-informed machine learning and stray field computation with application to micromagnetic energy minimization. Journal of Magnetism and Magnetic Materials, 576: 170761

Oezelt, H.; Kovacs, A.; Breth, L.; Gusenbauer, M.; Schaffer, S.; Exl, L.; Schrefl. T. (2023). Machine learning based optimization of hard-/soft magnetic nanostructures. In: HMM, proceedings in 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023): 1, HMM, Wien

Ali, Q.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Gusenbauer, M.; Moustafa, H.; Böhm, D.; Breth, L.; Schrefl, T. (2023). Defect Manipulation for the Coercivity Enhancement of Nd-Fe-B Permanent Magnets. SSRN, 2023: 4628986, Elesevier

Breth, L.; Fischbacher, J.; Kovacs, A.; Oezelt, H.; Schrefl, T.; Czettl, C.; Kuehrer, S.; Pachlhofer, J.; Schwarz, M.; Weirather, T.; Brueckl, H. (2023). Structural and micromagnetic modeling of the magnetic binder phase in WC-Co cemented carbides. IEEE International Magnetic Conference - Short Papers, 2023: https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10304872

Kovacs, A.; Exl, L.; Kornell, A.; Fischbacher, J.; Hovorka, M.; Gusenbauer, M.; Breth, L.; Oezelt, H.; Yano, M.; Sakuma, N.; Kinoshita, A.; Shoji, T.; Kato, A.; Schrefl, T. (2022). Conditional physics informed neural networks. Communications in Nonlinear Science and Numerical Simulation, Vol. 104: 106041

Kovacs, A.; Exlc, L.; Kornell, A.; Fischbacher, J.; Hovorka, M.; Gusenbauer, M.; Breth, L.; Oezelt, H.; Praetorius, D.; Suess, D.; Schrefl, T. (2022). Magnetostatics and micromagnetics with physics informed neural networks. Journal of Magnetism and Magnetic Materials, Vol. 548: 168951

Lectures (Extract Research Database)

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

IEEE International Magnetics Conference INTERMAG 2023,, 19/05/2023

Interpretation ambiguity in FORC diagrams

Joint European Magnetism Symposia Conference JEMS 2022, 28/07/2022

FORC diagrams of hcp-Co particle ensembles from micromagnetic simulations

IEEE Advances in Magnetism (AIM) 2020+2021, 15/06/2021

Using a Random Forest Regressor to predict First Order Reversal Curves of hcp-Co particle ensembles

Intermag 2021, 26/04/2021