Advances in Aerospace Materials and Computational Analysis Technologies

Scope

This symposium welcomes contributions from researchers, engineers, and industry professionals working across the broad spectrum of aerospace materials and computational analysis. Contributors are encouraged to address the following themes:

• AI and Machine Learning in Materials Science — Data-driven approaches for material discovery, property prediction, and structural health monitoring.
• Fatigue, Fracture, and Damage Tolerance — Computational and experimental investigations into failure mechanisms, crack propagation, and life prediction.
• Experimental Validation and Testing — Integration of experimental methods with computational frameworks for material qualification and performance assessment.
• Multiscale Computational Modeling — Finite element analysis, molecular dynamics, and multiscale simulation frameworks applied to aerospace material behavior.
• Advanced Material Systems — Development and characterization of high-performance alloys, ceramic matrix composites, metal matrix composites, and ultra-high-temperature materials for aerospace applications.
• Additive Manufacturing — Design, fabrication, and computational modeling of additively manufactured aerospace components and structures.