Current work
I work at the Center for Modelling and Simulation at the University for Continuing Education Krems while pursuing a doctorate in Physics at the University of Vienna. My work has focused on computational materials science since 2023.
Clemens Wager
Computational materials scientist and PhD researcher working on machine learning, optimization, and scientific software for permanent-magnet research.
Profile
Research interests
I am interested in machine learning and optimization for materials design, particularly uncertainty-aware models for permanent magnets. More about my background and interests is available in my profile.
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Areas of work
Methods and tools I use across my research.
Recent activity
Modelling magnetic material properties with uncertainty-aware neural networks
Research on uncertainty-aware machine learning for permanent-magnet modeling, from composition-based surrogate models to microstructure-sensitive prediction.
Read via DOI ↗Selected presentations
- Evaluating uncertainty estimation in machine learning for materials science
- Optimization of a permanent magnet with uncertainty control
- Optimization of coercivity and price considering microstructure