Here’s a list of Github repos that might be useful

  • Awesome scientific foundational models This repository tracks research on scientific foundation models — large, reusable models pre-trained on scientific data (text, code, signals, fields, etc.) that can be adapted to many downstream scientific tasks.

  • Differentiable physics for unsteady cylinder wakes This repository contains the code, scripts as well as datasets for the research undertaken by me at TUM on Differentiable physics-assisted neural networks (DPNN) for spatio-temporal predictions of unsteady wake flows past arbitrary bodies.

  • Phiflow validation test cases This repository is meant for the validation test-cases performed using Phiflow for benchmark fluid flow problems

  • LFF for aerodynamic design and shape optimisation This repository stores various low-fidelity framework for aerodynamic design and shape optimisation for canonical configurations