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cond-mat.mtrl-sci2021
Machine learning unveils composition-property relationships in chalcogenide glasses
Saulo M. Mastelini, Daniel R. Cassar, Edesio Alcobaça +3
Due to their unique optical and electronic functionalities, chalcogenide glasses are materials of choice for numerous microelectronic and photonic devices. However, to extend the r…
cond-mat.mtrl-sci2020
Designing optical glasses by machine learning coupled with a genetic algorithm
Daniel R. Cassar, Gisele G. dos Santos, Edgar D. Zanotto
Engineering new glass compositions have experienced a sturdy tendency to move forward from (educated) trial-and-error to data- and simulation-driven strategies. In this work, we de…