The first step to study a topological material is to tell whether or not the material is topological. However, this step is nontrivial, often combining extensive calculations and sophisticated experiments. The work, led by Nina and her twin sister Jovana, combines X-ray absorption, a simple spectroscopy, with machine learning to form a spectral indicator to tell if a material is a topological insulator, a topological semimetal, or topologically trivial with 90%+ accuracy. It picks up missing materials from high-through topo quantum chemistry approach like Weyl semimetals, and passes experimental test. Using this model, we also made a list prediction of other new topological materials. Big Congratulations to Nina, Jovana, and everyone!
