← Tesseract Blog What if you could backpropagate through existing Fortran, C, or C++ simulation code, embed it into JAX and torch, and use it as a high-performance differentiable physics engine? Turns out, you can — if you’re brave enough… Decades of validated physics code in CFD, climate, aerospace, and nuclear sit behind a wall that modern ML pipelines can’t cross, because they don’t expose ...