Material Science

Build core understanding of materials, energy systems, and scientific principles, providing the conceptual framework for applied learning. Students explore atomic and crystal structures, phase behavior, and the fundamentals of material properties. This semester lays the groundwork for analytical thinking and prepares learners for hands-on experiments and modeling in later semesters.

Develop practical skills through experiments and analytical techniques, exploring material behavior and gathering insights for modeling. Students gain hands-on experience with techniques such as microscopy, spectroscopy, and thermal analysis, learning to observe, measure, and interpret material phenomena across multiple scales.

Apply computational and data-driven methods to simulate and predict material properties, informed by characterization results. Students gain hands-on experience in multiscale modeling, integrating physics-based simulations, surrogate models, and machine learning (ML) and deep learning (DL) approaches. They learn to connect experimental observations with predictive models, analyze complex material behavior across scales, and develop skills for research and real-world problem-solving.