%0 Journal Article %1 KneiflGrunertFehr2021 %A Kneifl, Jonas %A Grunert, Dennis %A Fehr, Joerg %D 2021 %I Wiley %J International Journal for Numerical Methods in Engineering %K exc2075 jkneifl myown peerReviewed pn7 %R 10.1002/nme.6712 %T A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning %U https://doi.org/10.1002%2Fnme.6712

@article{KneiflGrunertFehr2021, added-at = {2021-05-06T09:54:25.000+0200}, author = {Kneifl, Jonas and Grunert, Dennis and Fehr, Joerg}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c6c53d5c369ab742722817452d6f3909/jkneifl}, doi = {10.1002/nme.6712}, interhash = {ebff56638151df73a7826c0567b8089b}, intrahash = {c6c53d5c369ab742722817452d6f3909}, journal = {International Journal for Numerical Methods in Engineering}, keywords = {exc2075 jkneifl myown peerReviewed pn7}, month = {4}, note = {initial preprint available under http://elib.uni-stuttgart.de/handle/11682/11198}, publisher = {Wiley}, timestamp = {2023-11-22T10:22:37.000+0100}, title = {A non-intrusive nonlinear model reduction method for structural dynamical problems based on machine learning}, url = {https://doi.org/10.1002%2Fnme.6712}, year = 2021 }