Assessing data-driven predictions of band gap and electrical conductivity for transparent conducting materials

Federico Ottomano, John Y. Goulermas, Vladimir Gusev +14

Machine Learning (ML) has offered innovative perspectives for accelerating the discovery of new functional materials, leveraging the increasing availability of material databases.…