Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings
Few machine learning models consider materials' multi-property prediction, such as the density of states. We propose a novel machine learning model, called Mat2Spec, for predicting ab initio phonon and electronic density of states for crystalline materials.
