Machine Learning for Properties of Materials

Machine Learning models for (a) predicting whether a material is an insulator or conductor and (b) predicting the nature (direct/indirect) of band gaps of semiconductors without too much computation are presented. We also present our work on searching for harder materials and materials with very high thermal conductivities using Machine Learning models developed in our collaboration.