MS133D Data-Driven Design of Materials – from Performance to Sustainability IV
Main Organizer:
Prof.
Markus Kästner
(
TU Dresden
, Germany
)
Scheduled presentations:
-
Data-Driven Microstructure Optimization of High-Fe Secondary Aluminum Alloys via Phase-Field Fracture Simulation and Inverse Design
-
Geometric Features Based Machine Learning Modelling And Explainability Analysis Of Advanced Architected Materials
-
From Virtual Design to Experimental Synthesis: Comparative Analysis of Graph-Based and Generative Latent Representations for Inverse Structure-Process Linkages
-
Instabilities and Phase Transformations in Architected Metamaterials: a Gradient-Enhanced Continuum Approach
-
Uncertainty-Aware Inverse Design of Architected Spinodoid Materials via Bayesian Optimization and Inversion
