Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials

Thorben Prein, Elton Pan, Janik Jehkul +3

Inorganic synthesis planning currently relies primarily on heuristic approaches or machine-learning models trained on limited datasets, which constrains its generality. We demonstr…