This study presents a machine learning-based approach for predicting the mechanical properties of ShKh15 (AISI 52100) bearing steel produced from secondary raw materials. A dataset comprising 180 expe
MgLa5 crystallizes in the trigonal R32 space group. The structure is three-dimensional. Mg is bonded to twelve La atoms to form MgLa12 cuboctahedra that share corners with six equivalent MgLa12 cuboct