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pcarruscag
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Mar 7, 2026
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Proposed Changes
Major update to the MLPCpp submodule aimed at improving network inference efficiency, flexibility of the various classes within the submodule, and paving the way to enabling physics-informed machine learning in SU2.
The CDataDrivenFluid and CFluidFlamelet classes required adaptation to exploit the new capabilities, reducing the computational cost of data-driven fluid simulations.
Furthermore, a new unit test was added that checks differentiation of the network inference function and compares the Jacobian and Hessian of the network output to the analytical values calculated with MLPCpp.
PR Checklist
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pre-commit run --allto format old commits.