Leoni Breth

Dr. Leoni Breth is a Researcher at the University for Continuing Education Krems, affiliated with the Department of Integrated Sensor Systems and the Center for Modelling and Simulation. She holds a PhD in Technical Physics from the Vienna University of Technology, specializing in Condensed Matter Physics and micromagnetic sensor research. Her work integrates theoretical modeling, experimental validation, and AI-driven approaches to advance materials science.

Education:

• PhD in Technical Physics, Vienna University of Technology (focus: magnetoresistive sensors and thermal fluctuations)
• Undergraduate Studies in Technical Physics at Vienna University of Technology

Research Interests:

Dr. Breth's research focuses on micromagnetic simulations, magnetoresistive sensors, and the application of machine learning to analyze First-Order-Reversal Curves (FORCs) in materials science. Her work bridges fundamental physics and industrial applications, particularly in optimizing magnetic materials for advanced technologies like permanent magnets and cemented carbides. Key areas include coercivity enhancement, domain nucleation dynamics, and AI-based predictive modeling.

Projects & Grants:

• FFG-funded project (2020-2023): AI-driven FORC analysis in carbide production
• FWF-funded project (2023-2026): Combinatorial synthesis and micromagnetic graph networks for magnet design

Key Contributions:

Her publications span topics like FORC diagram interpretation, skyrmion modeling in bulk materials, and machine learning for mechanical property prediction. She has also contributed to international conferences, including presentations at IEEE Magnetics Society events and the Joint European Magnetics Symposia.