Learning

Computational Materials Design with DFT and High-Throughput Screening

Python Programming for Scientists → Integrated Materials Design Project

This learning path equips materials scientists with the skills to apply computational methods—density functional theory (DFT), high-throughput screening, and property prediction—to materials design. Starting from condensed matter physics and programming fundamentals, it builds toward advanced modeling and data-driven analysis for practical materials discovery.