Data-Driven Material Science: Harnessing AI for Materials Discovery and Data Management

Presentation by Nachiket Patil, Senior Product Specialist, Material Solutions at Altair as part of the 2025 ATCx AI for Engineers conference.

The convergence of artificial intelligence (AI), machine learning, and materials science is reshaping the way new materials are discovered, characterized, and optimized. This presentation explores how data intelligence, powered by AI is accelerating innovation across the materials lifecycle - from high-throughput experimentation and simulation to predictive modeling and decision-making. We highlight case studies where AI has significantly reduced development time, uncovered hidden patterns in complex datasets, and enabled the design of materials with targeted properties. We also emphasize the role of material data management infrastructure and automated data curation, in supporting robust AI workflows. By integrating domain knowledge with data-driven techniques, we demonstrate a path towards more efficient and intelligent materials research and development.