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Open Access

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

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Files

ofw17-training-physics-based-dl.tgz (321.82 MB)

Date

2022-07-09

Type

Dataset
Text
Software
Interactive Resource

Authors

Maric, Tomislav

Journal Title

Journal ISSN

Volume Title

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Abstract

Description

Source 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 Workshop

Keywords

machine learning, physics-informed neural networks, openfoam, computational fluid dynamics

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3527
 https://doi.org/10.48328/tudatalib-912

Endorsement

DFG Classification

4.22-03 Strömungsmechanik

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Towards physics-based deep learning in OpenFOAM: Combining OpenFOAM with the PyTorch C++ API

License

GPL - GNU General Public License 3.0
Except where otherwise noted, this license is described as GPL - GNU General Public License 3.0