%0 Journal Article %1 kneifl2024multihierarchical %A Kneifl, Jonas %A Fehr, Jörg Christoph %A Brunton, Steven L. %A Kutz, J. Nathan %D 2024 %I Springer %J Computational mechanics %K f2024 hybrid oa oafonds sent transform ubs_10007 ubs_20011 ubs_30115 ubs_40177 unibibliografie %R 10.1007/s00466-024-02553-6 %T Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks

@article{kneifl2024multihierarchical, added-at = {2025-01-23T10:18:27.000+0100}, author = {Kneifl, Jonas and Fehr, Jörg Christoph and Brunton, Steven L. and Kutz, J. Nathan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2b0bc68d212d6b3743f57f74da3f1e06b/unibiblio}, doi = {10.1007/s00466-024-02553-6}, interhash = {2ffaae3d8e2209369441c9740b61edf8}, intrahash = {b0bc68d212d6b3743f57f74da3f1e06b}, issn = {{0178-7675} and {1432-0924}}, journal = {Computational mechanics}, keywords = {f2024 hybrid oa oafonds sent transform ubs_10007 ubs_20011 ubs_30115 ubs_40177 unibibliografie}, publisher = {Springer}, pubstate = {prepublished}, timestamp = {2025-08-13T16:32:07.000+0200}, title = {Multi-hierarchical surrogate learning for explicit structural dynamical systems using graph convolutional neural networks}, year = 2024 }