A two-scale phase-field model for reactive transport in porous media with evolving pore-scale geometry (Keynote Lecture)
Manuela Bastidas, Carina Bringedal, Iuliu Sorin Pop and Lars von Wolff

Registration-based model reduction of parameterized PDEs with spatio-parameter adaptivity.
Tommaso Taddei

Application of model order reduction to the analysis of polymer processing problems
Fabian Key and Stefanie Elgeti

A hybrid knowledge- and data-driven reduced model for almost thin porous materials
Alaa Armiti-Juber, André Mielke and Tim Ricken

A PBDW approach to Hamilton-Jacobi-Bellman equations
Samuel Knaus and Karsten Urban

Solving parametric PDEs with an enhanced model reduction method based on Linear/Ridge expansions
Constantin Greif, Philipp Junk and Karsten Urban

Neural networks with embedded physics-based material models to accelerate multiscale finite element simulations
Marina Maia, Iuri Rocha and Frans van der Meer

Active-learning-based non-intrusive model order reduction
Qinyu Zhuang, Dirk Hartmann, Hans -J. Bungartz and Juan M. Lorenzi

Machine-learning prediction of microscopic bubble-growth characteristics
Jan Bureš, Lubomír Bureš, Mattia Bucci and Matteo Bucci