A perfect crystal is easy to compute. Bloch’s theorem turns 10²³ atoms into one unit cell and a set of sharp states.
No real material is a perfect crystal. At MAVENs, we start from the material as it is: its symmetry broken by substitution, vacancies, or design.
We compute random alloys directly with the coherent potential approximation, and individual defects with density functional theory. From the electronic structure we obtain the magnetic exchange interactions, and from those the temperature up to which magnetic order survives. When there are too many compositions to compute, interpretable machine learning narrows the search.
We build cview, an open-source crystallographic interface (paper), and test our predictions with experimental groups:
Each pillar takes one consequence of broken symmetry in depth; machine learning serves all three.