%0 Conference Paper %1 conf/ciss/NewETG23 %A New, Alexander %A Eng, Benjamin %A Timm, Andrea C. %A Gearhart, Andrew S. %B CISS %D 2023 %I IEEE %K dblp %P 1-8 %T Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations. %U http://dblp.uni-trier.de/db/conf/ciss/ciss2023.html#NewETG23 %@ 978-1-6654-5181-9

@inproceedings{conf/ciss/NewETG23, added-at = {2023-04-22T00:00:00.000+0200}, author = {New, Alexander and Eng, Benjamin and Timm, Andrea C. and Gearhart, Andrew S.}, biburl = {https://www.bibsonomy.org/bibtex/26c0a7e8d1af2960422f82d201e086656/dblp}, booktitle = {CISS}, crossref = {conf/ciss/2023}, ee = {https://doi.org/10.1109/CISS56502.2023.10089728}, interhash = {a2a4316480cc7444944c8a9686dad277}, intrahash = {6c0a7e8d1af2960422f82d201e086656}, isbn = {978-1-6654-5181-9}, keywords = {dblp}, pages = {1-8}, publisher = {IEEE}, timestamp = {2024-04-10T02:00:16.000+0200}, title = {Tunable complexity benchmarks for evaluating physics-informed neural networks on coupled ordinary differential equations.}, url = {http://dblp.uni-trier.de/db/conf/ciss/ciss2023.html#NewETG23}, year = 2023 }