Towards Physics-Informed Machine Learning with SU2

This proposal combines the MLPCpp submodule and Algorithmic Differentiation (CoDi) natively in SU2 for in-solver training, allowing researcher to train their PINNs withing the exact same run instead of training them outside and injecting the weights for inferencing.