Accelerating Tribological Materials Discovery with Generative AI and Simulation

Description

Expert lecture on accelerating tribological materials discovery with generative AI and physics-based simulations. Covers data foundations, representations, generative models, molecular and finite-element simulations, multiscale bridging, surrogates, active learning, case studies, and integration with industrial reliability. Emphasizes constraints, uncertainty, ethics, and a practical playbook for deployment.