Delve into the principles of materials informatics in mechanical engineering, addressing topics such as materials databases, machine learning models, and materials design optimization. Explore methodologies for integrating computational tools with experimental techniques to accelerate materials discovery and development processes. Discuss applications of materials informatics in materials selection, alloy design, and property prediction. Analyze challenges and opportunities associated with materials informatics, including data quality, model interpretability, and transferability across material systems.