I. Models
Matra-Genoa
Reference 10.1038/s41524-025-01940-8
Lead developer Pierre-Paul De Breuck
Our crystal generative model.
TUGA-SPComing soon
Lead developer Pierre-Paul De Breuck
Structure–property relations predicted directly from a crystal graph.
TUGA-FFComing soon
Lead developer Pierre-Paul De Breuck
A machine-learned interatomic potential for fast, accurate simulations.
Alexandria's reach goes beyond the models we build ourselves: its data has become a standard training ingredient for machine-learned interatomic potentials across the field. Data drawn from Alexandria underpins the training of essentially every top-ranked model on the Matbench Discovery leaderboard, the community benchmark for predicting materials stability.