Machine learning unveils composition-property relationships in chalcogenide glasses

Published in Acta Materialia, 2022

Recommended citation: Mastelini, S. M., Cassar, D. R., Alcobaça, E., Botari, T., de Carvalho, A. C., & Zanotto, E. D. (2022). Machine learning unveils composition-property relationships in chalcogenide glasses. Acta Materialia, 240, 118302. https://doi.org/10.1016/j.actamat.2022.118302