AI-MI researchers have introduced Graphlet-MP, a database that encodes inorganic crystal structures as graphlet histograms — a data-efficient, interpretable, machine-learning-ready representation aimed at accelerating materials discovery. Covering 149,082 inorganic...
Publications
AI-MI Follow-Up Discovers New Superconductors in the PtPb₃Bi Structure Type
A follow-up from AI-MI’s superconductivity effort reports a new family of superconductors sharing the PtPb₃Bi structure type — extending the AI-prediction-driven discovery that produced PtPb₃Bi itself, featured as the June AI-MI research highlight. The team...
AI-MI study tests large language models as “world models” for high-Tc superconductivity
The first study out of the AI Materials Institute, led by Director Eun-Ah Kim, tests how well large language models grasp the scientific literature.