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