Advancing Materials Science Through Data Science

We provide 13 tracks within Material Science to reflect the diverse opportunities and approaches in cross-disciplinary research and innovation. This session aims to highlight state-of-the-art methodologies, technologies, and applications at the intersection of these fields with data science, as an equal partner. We seek to attract contributions that demonstrate how data analytics and AI/ML can unveil new insights, predict material properties, and accelerate materials science as a whole.