Differentiable Fortran with LFortran and Enzyme
How we built a pipeline to get exact gradients out of a Fortran thermal solver, then used it to solve real inverse problems from Python.
Tesseract Blog¶
News, tutorials, and deep dives from the Tesseract team.
Optimizing rocket fins across CAD, mesher, and FEA with end-to-end gradients
We show how to chain adjoint, finite-difference, and AD gradients across Ansys SpaceClaim, PyMAPDL, and JAX to optimize rocket grid fins end-to-end.
Announcing the winners of the Tesseract Hackathon
The inaugural Tesseract Hackathon concluded with impressive entries from global researchers and engineers.
Playing Catch With Newton: a Beginner's Guide to Tesseracts
A hands-on tutorial introducing the Tesseract ecosystem through a physics-based example.
New demo: Pipeline-level autodiff with Tesseracts
A demo highlighting how Tesseracts unlock efficient, clean pipeline-level automatic differentiation.
Tesseract Core is now live... and open source!
We're announcing the public release of Tesseract Core, a free and open source application enabling scientists and engineers to build end-to-end differentiable pipelines with minimal code.