A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation
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Updated
May 14, 2026
A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation
Master's Thesis developed at Technische Universität München (TUM) under supervision of Prof. Stephan Günnemann.
Graph neural network warm-start for AC power flow, ported from the RPF paper (arXiv:2601.09533).
A repository for training neural network models using Ordinary Differential Equations (ODEs) as the loss function. The project leverages JAX for efficient computation and Hydra for configuration management.
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