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Open Access

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

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Files

2022-07-11-OFW17-training-pinn.pdf (1.94 MB)

Date

2022-07-09

Type

Text

Authors

Maric, Tomislav
Weiner, Andre

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

Slides from 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, computational fluid dynamics, openfoam

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3528
 https://doi.org/10.48328/tudatalib-913

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

CC BY 4.0 - Attribution 4.0 International
Except where otherwise noted, this license is described as CC BY 4.0 - Attribution 4.0 International

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 2022-07-11 19:56:37
Language corrections.
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 2022-07-10 00:51:10
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