ANN-reconstruction of nonlinear operator in projection-based ROM for elastic structures
Christophe Hoareau, Lan Shang and Andreas Zilian

Nonlinear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method
Francesco Romor, Giovanni Stabile and Gianluigi Rozza

Projection-based reduced order models for nonlinear thermal simulations of automotive battery packs
Bartosz Górecki, Michał Kurzynka and Robert Tykocki-Crow

A Reduced-Order Model based in nonlinear multidimensionality reduction: a kernel Proper Orthogonal Decomposition.
Pedro Díez, Alba Muixí, Alberto García-González and Sergio Zlotnik

A novel non-linear ROM strategy for steady-state elastohydrodynamic line contact problems and its applicability to lubricated contact in multibody
Leoluca Scurria, Tommaso Tamarozzi, Pavel Jiranek and Dieter Faucconier

A symplectic model order reduction method for large-scale seismic wave propagation
Muhammad Hamza Khalid, Rhys Hawkins, Matthias Schlottbom and Kathrin Smetana

Preconditioned Least-Squares Petrov-Galerkin Reduced Order Models for Solid and Fluid Mechanics Problems (Keynote Lecture)
P. Lindsay, J. Fike, I. Tezaur and K. Carlberg

An Efficient Reduction Scheme for Contact Problems in Linear Elasticity
Diana Manvelyan, Bernd Simeon and Utz Wever

Reduced order models for the solution of geometrically-parametrised turbulent flow problems.
Vasileios Tsiolakis, Trond Kvamsdal, Adil Rasheed, Eivind Fonn and Harald van Brummelen

Finite element approximation of wave problems with correcting terms based on training artificial neural networks with fine solutions
Arnau Fabra, Joan Baiges and Ramon Codina

Dictionary-based approximations for reduced order models in contact mechanics
Kiran S. Kollepara, José V. Aguado, Yves Le Guennec and Luisa Silva

Model order reduction for high dimensional parametric systems
Manisha Chetry and Domenico Borzacchiello

Interpolated models for non-intrusive affinization of reduced basis methods
Eivind Fonn, Harald van Brummelen, Jens Eftang, Trond Kvamsdal and Adil Rasheed

Reduced order source model for railway induced vibration based on the Proper Generalized Decomposition
Geertrui Herremans, Stijn François and Geert Degrande

Computing Green‘s functions in two-dimensional wave propagation using Proper Generalized Decomposition
Thomas Alexiou, Pieter Reumers, Geert Degrande and Stijn François

Extending the capabilities of data-driven reduced-order models to make predictions for unseen scenarios
Claire E. Heaney, Xiangqi Liu, Hanna Go, Zef Wolffs, Pablo Salinas, I. Michael Navon and Christopher C. Pain

A strategy to optimal block-incremental singular value decomposition for unsteady high-fidelity simulation data
Xiaodong Li, Steven Hulshoff and Stefan Hickel