Abstract
The use of machine learning (ML) in the study and discovery of new materials has emerged as a fundamental approach, offering valuable alternatives and complements to traditional experimental and computational methodologies. ML's ability to analyze vast amounts of data and identify complex patterns enables the efficient prediction of properties and the generation of new materials, signific…