
Topics F
This topic covers modeling, simulation, and data-driven approaches for understanding and designing lightweight materials and processes. Contributions may span from atomistic and mesoscale simulations to continuum modeling, integrated computational materials engineering (ICME), and use of artificial intelligence, in particular machine learning methods. Emphasis is placed on predictive tools that support alloy design, process optimization, and performance assessment.
Topic Coordinators
Prof. Dr.
Evgeniya Kabliman
Leibniz Institute for Materials Engineering - IWT (DE)