Learning Path

Crystallography and Bonding in Ceramics → Case Studies in Computational Ceramics

This graduate-level learning path guides materials science students through the essential knowledge and skills for computational modeling of ceramics. It covers ceramic crystal structures, defects, mechanical and thermal properties, interfaces, and the computational methods used to study them, emphasizing the connections between atomistic simulations and macroscopic behavior.