A new study introduced a machine learning-powered clustering model that incorporates both basic features and target properties, successfully grouping over 1,000 inorganic materials.

Recent advances in machine learning (ML) methodology offer the opportunity to bypass the limitations of traditional statistical methods through robust estimation of complex relationships in patient ...