Welcome to Materials Informatics Research Group

The group focuses on the integration of artificial intelligence, machine learning, and data-driven methodologies with fundamental and applied materials research. The group aims to accelerate materials discovery, optimize processing-structure-property relationships, and enable predictive design of advanced materials through computational intelligence.

By combining experimental data, physics-based modeling, and materials informatics, the group seeks to create robust predictive tools for property estimation, life prediction, and alloy design. The research outcomes are intended to support sustainable materials development, improve component reliability, and reduce the cost and time associated with traditional trial-and-error approaches.