Toward Accurate Interpretable Predictions of Materials Properties within Transformer Language Models

Vadim Korolev, Pavel Protsenko

Property prediction accuracy has long been a key parameter of machine learning in materials informatics. Accordingly, advanced models showing state-of-the-art performance turn into…