State of the art and perspectives for reduced order methods in industrial computational fluid dynamics (Keynote Lecture)
Gianluigi Rozza

Nonlinear Reduced Modelling based on Optimal Transport Metrics
Minh-Hieu Do, Jean Feydy and Olga Mula

Model order reduction of solidification problems
Florian Arbes, Øyvind Jensen, Kent-Andre Mardal and Jørgen Dokken

Accelerated nonlinear PDE-constrained optimization by reduced order modelling
Benjamin F. Gibson and Masayuki Yano

On the application of interpolation multipoint constraints within the floating frame of reference for the reduction of flexible multibody systems
Alessandro Cammarata, Pietro Maddìo and Rosario Sinatra

Model order reduction for large-scale coupled problems with application to thermo-mechanical reliability analysis
Pascal den Boef, Jos Maubach, Wil Schilders and Nathan van de Wouw

Computationally efficient controller design for drilling automation using reduced order models
Sajad Naderi Lordejani and Wil Schilders

Abstracted structure-preserving reduction of interconnected structural models
Luuk Poort, Rob Fey, Bart Besselink and Nathan van de Wouw

Model reduction for variational inequalities
Idrissa Niakh, Alexandre Ern, Virginie Ehrlacher and Guillaume Drouet

Reduced-order modeling methods for the construction of virtual charts in nonlinear dynamics
Alexandre Daby-Seesaram, Amélie Fau, Pierre-Étienne Charbonnel and David Néron

Model Reduction for Explicit Finite Elements in Crash Applications
Mathias Lesjak and Fabian Duddeck

Using Digital Twins for Predicitive Maintenance
Julian Henning and Karsten Urban

On the invariant subspaces of deep learning-based reduced order models in MEMS
Giorgio Gobat, Stefania Fresca, Andrea Opreni, Andrea Manzoni and Attilio Frangi

Data-driven models for shrinkage porosity prediction in aluminium casting
Madyen Nouri, Julien Artozoul, Aude Caillaud, Amine Ammar, Francisco Chinesta and Ole Köser

Surrogate Models for CFD Simulations Based on Convolutional Neural Networks
Matthias Eichinger, Viktor Grimm, Alexander Heinlein and Axel Klawonn

Model Order Reduction for State-Space Neural Networks
Anna Shalova, Olga Mula Hernández and Wil Schilders

Model order reduction applied to a transient heat transfer simulation of a Selective Laser Melting process
mohamed amine ben yahmed and frank naets

PGD model with domain mapping of bead-on-plate weld simulation for wire arc additive manufacturing
Dominic Strobl, Annika Robens-Radermacher, Chady Ghnatios, Michael Rethmeier, Andreas Pittner and Jörg F. Unger

A stochastic interface scheme for mechanical substructuring problems with large interfaces: an application in electronics
Frank Naets and Sander Neeckx

On the stability of PGD reduced-order models for structural dynamics applications
Clément Vella and Serge Prudhomme

The Relay Race Method: Application of DEM extrapolation to pharmaceutical processes
Peter Toson, Marko Matic, Stefan Enzinger, Johan Remmelgas, Dalibor Jajcevic, Thomas O‘Connor, Abdollah Koolivand, Geng Tian, Scott M. Krull and Johannes Khinast

Alternative error estimate of POD-based reduced order model for the prediction of continuous fibre-reinforced composite responses
Arada Jamnongpipatkul, Ruben Sevenois, Wim Desmet, Frank Naets and Francisco Gilabert

Structural analysis considering uncertainties using polynomial chaos expansions and proper orthogonal decomposition
Lukas Panther, Werner Wagner and Steffen Freitag

Efficient model identification using a PGD forward model - influence of surrogate accuracy and convergence approach
Annika Robens-Radermacher, Isabela Coelho Lima, Thomas Titscher and Jörg F. Unger

Equivalence of a FE numerical model and a reduced model of soil-structure interaction, defined numerically using artificial neural networks
Artur Góral, Marek Lefik and Marek Wojciechowski