News

Mar 10, 2026 Our paper Physics-informed fine-tuning of foundation models for partial differential equations has been accepted at the ICLR 2026 Workshop on Artificial Intelligence and Partial Differential Equations. Very excited about this new research direction driven by Vlad Medvedev and Leon Armbruster.
Mar 03, 2026 I attended the German Crystal Growth Conference again to give talks about our work on physics-informed machine learning for coupled heat transport problems and AI-based wafer defect detection.
Feb 03, 2026 Our paper Towards a simulation model for pneumatic conveying of cable-like deformable linear objects is available via IEEE Xplore. Another great collaboration with FAPS (Simon Fröhlig, Patrick Bründl, and Jörg Franke)!
Feb 01, 2026 New preprint available online: Physics-Informed Operator Learning for Parameter Estimation in Lithium-Ion-Battery Models Enhanced by Global Experimental Design and Local Identifiability Analysis. Led by Philipp Brendel; joint work with Andreas Rosskopf, Vincent Lorentz, and Felix Dietrich.
Jan 26, 2026 I gave a one hour talk titled Bridging numerics and scientific machine learning for industrial applications within the FAU MoD Lecture Series. [Webpage]
Jan 01, 2026 I have been promoted to Senior Scientist! Looking forward to extending my research at Fraunhofer IISB within this permanent position.
Dec 01, 2025 I was part of the Workshop on industrial applications of numerical analysis and machine learning at CWI as an industrial contributor. [LinkedIn post]
Sep 24, 2025 I attended this year’s SISPAD, where two of our papers on the application of physics-informed machine learning for semiconductor process simulations were presented.
Aug 19, 2025 My paper A Birman–Schwinger Principle in General Relativity: Linearly Stable Shells of Collisionless Matter Surrounding a Black Hole with S. Günther and G. Rein has been published. [LinkedIn post]
Jul 17, 2025 My paper Damping Versus Oscillations for a Gravitational Vlasov-Poisson System with M. Hadžić, G. Rein, and M. Schrecker has been published. [LinkedIn post]
Jul 12, 2025 I gave a keynote talk Mit Mathematik zu pulsierenden Galaxien und verbesserten Mikrochips at the 17th Mathematics Day at the University of Bayreuth. [News article] [LinkedIn post]
Mar 24, 2025 I will be attending some conferences this spring, including the meeting of EMS activity group on Scientific Machine Learning and the Annual GAMM meeting. Looking forward to discussing physics-informed machine learning with you there!
Mar 06, 2025 My paper Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings has been accepted at the ICLR 2025 Workshop on Machine Learning Multiscale Processes. [LinkedIn post]
Feb 23, 2025 I gave a ceremonial lecture at the award ceremony of the Mathematical Olympiad in Bavaria. [News article] [LinkedIn post]
Feb 22, 2025 My first engineering paper Geometric deep learning as an enabler for data consistency and interoperability in manufacturing has been published. Great collaboration with FAPS! [LinkedIn post]
Sep 05, 2024 My first single-authored paper Numerical experiments on stationary, oscillating, and damped spherical galaxy models has been published.
Sep 01, 2024 I have joined the AI-augmented Simulation group at Fraunhofer IISB as a research associate. [LinkedIn post]
Aug 31, 2024 After 10 wonderful years, I left the University of Bayreuth in August 2024. [LinkedIn post]
Jul 01, 2024 I now have a website, this website.
Mar 13, 2024 I have successfully defended my doctoral thesis Pulsating Galaxies! [LinkedIn post]
Feb 05, 2024 Several news outlets have featured the latest publication of Sebastian Wolfschmidt and myself. Click here for an article in German and here for an English press release. I also presented our research on two local radio stations (Radio Z and Radio Plassenburg), which I enjoyed very much.