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dc.contributor.authorMaric, Tomislav
dc.contributor.authorWeiner, Andre
dc.date.accessioned2022-07-09T22:51:10Z
dc.date.available2022-07-09T22:51:10Z
dc.date.issued2022-07-10
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3528
dc.identifier.urihttps://doi.org/10.48328/tudatalib-913
dc.descriptionSlides from the Training "Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API" given at the 17th OpenFOAM Workshopde_DE
dc.language.isoende_DE
dc.rightsCreative Commons Attribution 4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectmachine learningde_DE
dc.subjectphysics-informed neural networksde_DE
dc.subjectcomputational fluid dynamicsde_DE
dc.subjectopenfoamde_DE
dc.subject.classification404-03 Strömungsmechanikde_DE
dc.subject.ddc620
dc.titleTowards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Slides)de_DE
dc.typeTextde_DE
dc.description.version1.0de_DE
tud.unitTUDa


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