Ghost Projects

Magnets need to move into the 21st century. The NdFeB incumbent, which dominates over 60% of a $30B magnet market, was discovered in the 80s — surely we can do better.

Project 14 aims to create novel modeling methods for discovering the next generation of magnetic materials. Curie temperature, thermodynamic stability, magneto-crystalline anisotropy energy, and total magnetic density are already being accurately predicted by published Ouro models. The remaining bottleneck is the structure-prediction side: given a composition and a target symmetry, what crystal does it form?

GPSK-300 is our answer for the L1₀ tetragonal magnet family (FePt, CoPt, FeNi, FePd, MnAl, MnGa, MnAlC) and the hexagonal rare-earth–transition-metal magnets (SmCo₅, YCo₅, CeCo₅). A 304M-parameter multimodal diffusion transformer that generates crystals in reciprocal space, with a fully invertible 3-channel representation that decodes directly into a pymatgen Structure — no auxiliary lattice regressor, no element classifier, no MLIP volume scan.

The full write-up — methods, math, evaluation, failure modes — is here:

→ GPSK-300: A Reciprocal-Space Diffusion Model for L1₀ Magnet Structure Prediction