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Abstract

This issue of MGE Advances highlights the transformative role of machine learning (ML) in shaping the future of materials science. From accelerating the discovery of novel materials to refining predictive models and optimizing manufacturing processes, ML is driving a paradigm shift across the field. The articles in this issue showcase diverse methodologies and applications, demonstrating ML’s power to unravel material complexities, bridge theory and practice, and inspire innovations in high-performance materials.