%0 Journal Article %1 noauthororeditor %A Rudy, Samuel H. %A Brunton, Steven L. %A Proctor, Joshua L. %A Kutz, J. Nathan %D 2017 %J Science Advances %K 35r30-pdes-inverse-problems 65m32-ibvps-numerical-methods-for-inverse-problems 68t07-artificial-neural-networks-and-deep-learning 68t09-computational-aspects-of-data-analysis-and-big-data %N 4 %P e1602614 %T Data-driven discovery of partial differential equations %V 3

@article{noauthororeditor, added-at = {2020-09-09T07:17:45.000+0200}, author = {Rudy, Samuel H. and Brunton, Steven L. and Proctor, Joshua L. and Kutz, J. Nathan}, biburl = {https://www.bibsonomy.org/bibtex/2909a8ae1bc3da11df038ea4d6b304883/gdmcbain}, interhash = {2222402013351fc014e995dc777fdc71}, intrahash = {909a8ae1bc3da11df038ea4d6b304883}, journal = {Science Advances}, keywords = {35r30-pdes-inverse-problems 65m32-ibvps-numerical-methods-for-inverse-problems 68t07-artificial-neural-networks-and-deep-learning 68t09-computational-aspects-of-data-analysis-and-big-data}, number = 4, pages = {e1602614}, timestamp = {2020-09-09T07:17:45.000+0200}, title = {Data-driven discovery of partial differential equations }, volume = 3, year = 2017 }