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Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Source Code and Data)

dc.contributor.authorMaric, Tomislav
dc.date.accessioned2022-07-09T22:37:17Z
dc.date.available2022-07-09T22:37:17Z
dc.date.issued2022-07-10
dc.identifier.urihttps://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3527
dc.identifier.urihttps://doi.org/10.48328/tudatalib-912
dc.descriptionSource Code and Data snapshot accompanying 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.rightsGPL - GNU General Public License 3.0
dc.rights.urihttps://www.gnu.org/licenses/gpl-3.0.en.html
dc.subjectmachine learningde_DE
dc.subjectphysics-informed neural networksde_DE
dc.subjectopenfoamde_DE
dc.subjectcomputational fluid dynamicsde_DE
dc.subject.classification4.22-03 Strömungsmechanikde_DE
dc.subject.ddc620
dc.titleTowards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API (Source Code and Data)de_DE
dc.typeDatasetde_DE
dc.typeTextde_DE
dc.typeSoftwarede_DE
dc.typeInteractive Resourcede_DE
dc.description.version1.0de_DE
tud.unitTUDa
tud.history.classificationVersion=2020-2024;404-03 Strömungsmechanik


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GPL - GNU General Public License 3.0
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