MS133A Data-Driven Design of Materials – from Performance to Sustainability I
Main Organizer:
Prof.
Markus Kästner
(
TU Dresden
, Germany
)
Chaired by:
Prof. Daniel Balzani (Ruhr University Bochum , Germany)
Prof. Daniel Balzani (Ruhr University Bochum , Germany)
Scheduled presentations:
-
Keynote
Variance estimation Bayesian Neural Networks (VeBNNs): Cooperative training for uncertainty disentanglement and robust materials design
-
Data-Driven Inverse Design of Structured Materials in the Small-Data Regime
-
Design-GenNO: A physics-informed generative model with neural operators for inverse microstructure design
-
Inferring the underlying kinetics of phase-separating systems from microstructure observations
-
Multi-Objective Quantum Optimization for Data-Driven and Sustainable Materials Design
