Christopher Straub
I am a researcher at the AI-augmented Simulation group at the Fraunhofer Institute for Integrated Systems and Device Technology IISB in Erlangen (Germany). I am leading the institute’s research activities on scientific machine learning, focusing on
- physics-informed machine learning and its industrial applications,
- methodological improvements of physics-informed neural networks.
My work on physics-informed neural networks and operators spans diverse industry-relevant applications, including semiconductor process simulations, lithography, and plastic deformation.
I have a background in mathematics, where I obtained my PhD in March 2024 under the joint supervision of Gerhard Rein (University of Bayreuth) and Mahir Hadžić (University College London). My doctoral research was focused on the analysis of partial differential equations from galactic dynamics using mathematical and numerical methods.
Recent news:
| Dec 01, 2025 | I will be part of the Workshop on industrial applications of numerical analysis and machine learning at CWI as an industrial contributor. |
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| 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] |