%0 Conference Paper %1 puri2024predicting %A Puri, Rishabh %A Stein, Oliver T. %A Zirwes, Thorsten %B Proceedings of the 35th Parallel CFD International Conference 2024 %D 2024 %I Verlag des Forschungszentrums Jülich %K oa sent ubs_10011 ubs_20016 ubs_30151 ubs_40275 unibibliografie %N 69 %P 94-98 %R 10.34734/FZJ-2025-02463 %T Predicting NOx Emissions From Porous Media Burners Using Physics-Informed Graph Neural Networks %@ 978-3-95806-819-3

@inproceedings{puri2024predicting, added-at = {2025-06-10T10:09:48.000+0200}, author = {Puri, Rishabh and Stein, Oliver T. and Zirwes, Thorsten}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/26215607738adaff614ddd136beba1391/unibiblio}, booktitle = {Proceedings of the 35th Parallel CFD International Conference 2024}, doi = {10.34734/FZJ-2025-02463}, eventdate = {2024-09-02/2024-09-04}, eventtitle = {35th Parallel CFD International Conference 2024, ParCFD 2024}, interhash = {65b80e077843187fd92eb642cd095689}, intrahash = {6215607738adaff614ddd136beba1391}, isbn = {978-3-95806-819-3}, keywords = {oa sent ubs_10011 ubs_20016 ubs_30151 ubs_40275 unibibliografie}, language = {eng}, number = 69, pages = {94-98}, publisher = {Verlag des Forschungszentrums Jülich}, series = {Schriften des Forschungszentrums Jülich IAS Series}, timestamp = {2025-06-10T10:09:48.000+0200}, title = {Predicting NOx Emissions From Porous Media Burners Using Physics-Informed Graph Neural Networks}, year = 2024 }