Christopher Straub

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Fraunhofer IISB

AI-augmented Simulation

I am a Senior Scientist at the AI-augmented Simulation group at Fraunhofer IISB in Erlangen (Germany). I am leading the 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 spans diverse industry-relevant applications, including semiconductor process simulations, lithography, battery modelling, and plastic deformation.

I have a background in mathematics, where I obtained my PhD in March 2024. My doctoral research was focused on the analysis of partial differential equations arising in galactic dynamics using mathematical and numerical methods.

Recent news:

Mar 03, 2026 I will again be at the German Crystal Growth Conference to give talks about 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.