%0 Journal Article %1 degen2023perspectives %A Degen, Denise %A Caviedes Voullième, Daniel %A Buiter, Susanne %A Hendricks Franssen, Harrie-Jan %A Vereecken, Harry %A González-Nicolás, Ana %A Wellmann, Florian %D 2023 %I Copernicus Publications Göttingen, Germany %J Geoscientific Model Development %K m: m:id:ai4simulation:node %N 24 %P 7375--7409 %T Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations %V 16

@article{degen2023perspectives, added-at = {2024-01-01T18:25:00.000+0100}, author = {Degen, Denise and Caviedes Voulli{\`e}me, Daniel and Buiter, Susanne and Hendricks Franssen, Harrie-Jan and Vereecken, Harry and Gonz{\'a}lez-Nicol{\'a}s, Ana and Wellmann, Florian}, biburl = {https://www.bibsonomy.org/bibtex/2beabe51f29c710e4f99dcb8146e2317c/becker}, interhash = {1b5105a31deb26e1cfbe984fbb8dd2a7}, intrahash = {beabe51f29c710e4f99dcb8146e2317c}, journal = {Geoscientific Model Development}, keywords = {m: m:id:ai4simulation:node}, number = 24, pages = {7375--7409}, publisher = {Copernicus Publications G{\"o}ttingen, Germany}, timestamp = {2024-01-01T18:26:48.000+0100}, title = {Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations}, volume = 16, year = 2023 }