Litcius/Paper detail

Predicting and interpreting oxide glass properties by machine learning using large datasets

Daniel R. Cassar, Saulo Martiello Mastelini, Tiago Botari, Edesio Alcobaça, André C. P. L. F. de Carvalho, Edgar Dutra Zanotto

2021Ceramics International69 citationsDOIOpen Access PDF

Topics & Concepts

Machine learningLiquidusHyperparameterComputer scienceArtificial intelligenceInverseAlgorithmThermal expansionDecision treeMaterials scienceMathematicsMetallurgyAlloyComposite materialGeometryGlass properties and applicationsPhase-change materials and chalcogenidesCultural Heritage Materials Analysis