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Data-driven fluid modeling using physics-informed neural networks #61

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merged 5 commits into from
Mar 26, 2025

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New tutorial that explains how to use SU2 DataMiner to generate a physics-informed neural network to model the fluid properties of siloxane MM during the NICFD simulation of the ORCHID nozzle. This tutorial relates to PR #2444

@EvertBunschoten EvertBunschoten added the enhancement New feature or request label Mar 5, 2025
@EvertBunschoten EvertBunschoten self-assigned this Mar 5, 2025
@EvertBunschoten EvertBunschoten merged commit 28b3a8a into develop Mar 26, 2025
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@EvertBunschoten EvertBunschoten deleted the feature_PINN branch March 26, 2025 13:59
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