66 citations · 68 across the 6 of their papers we have counts for
6 papers
Adaptive space-time model order reduction with dual-weighted residual (MORe DWR) error control for poroelasticity
Hendrik Fischer, Julian Roth, Ludovic Chamoin +3
In this work, the space-time MORe DWR (Model Order Reduction with Dual-Weighted Residual error estimates) framework is extended and further developed for single-phase flow problems…
MORe DWR: Space-time goal-oriented error control for incremental POD-based ROM
Hendrik Fischer, Julian Roth, Thomas Wick +2
In this work, the dual-weighted residual (DWR) method is applied to obtain a certified incremental proper orthogonal decomposition (POD) based reduced order model. A novel approach…
Interval and fuzzy physics-informed neural networks for uncertain fields
Jan Niklas Fuhg, Ioannis Kalogeris, Amélie Fau +1
Temporally and spatially dependent uncertain parameters are regularly encountered in engineering applications. Commonly these uncertainties are accounted for using random fields an…
Model-data-driven constitutive responses: application to a multiscale computational framework
Jan Niklas Fuhg, Christoph Boehm, Nikolaos Bouklas +3
Computational multiscale methods for analyzing and deriving constitutive responses have been used as a tool in engineering problems because of their ability to combine information…
Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type
Jan N. Fuhg, Amelie Fau
Parametric studies for dynamic systems are of high interest to detect instability domains. This prediction can be demanding as it requires a refined exploration of the parametric s…
An innovative adaptive kriging approach for efficient binary classification of mechanical problems
Jan N. Fuhg, Amelie Fau
Kriging is an efficient machine-learning tool, which allows to obtain an approximate response of an investigated phenomenon on the whole parametric space. Adaptive schemes provide…