Sebastian Pujet Coauthors a Preprint on Transfer Learning for Defect Models

Sebastian Pujet coauthored the new preprint “Transfer Learning on Universal Interatomic Potential Embeddings Improves Generalization in Structure-Property Defect Models”, now available on ChemRxiv. The study uses representations from a pretrained interatomic potential to improve predictions of oxygen-vacancy formation energies.