%0 Generic %1 kneifl2024multihierarchical %A Kneifl, Jonas %A Fehr, Jörg %A Brunton, Steven L. %A Kutz, J. Nathan %D 2024 %K myown preprint %R 10.48550/arXiv.2402.09234 %T Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks

@misc{kneifl2024multihierarchical, added-at = {2024-03-15T10:18:23.000+0100}, archiveprefix = {arXiv}, author = {Kneifl, Jonas and Fehr, Jörg and Brunton, Steven L. and Kutz, J. Nathan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/213c14040542fabfca71c9091d9b15464/jkneifl}, doi = {10.48550/arXiv.2402.09234}, eprint = {2402.09234}, interhash = {a4b40872f8bc5d4e0941f5adc45e5c5a}, intrahash = {13c14040542fabfca71c9091d9b15464}, keywords = {myown preprint}, note = {publication: https://doi.org/10.1007/s00466-024-02553-6}, primaryclass = {cs.LG}, timestamp = {2024-10-15T17:01:29.000+0200}, title = {Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks}, year = 2024 }