Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

Engineering is evolving in the same way than society is doing. Nowadays, data is acquiring
a prominence never imagined. In the past, in the domain of materials, processes and …

Vascular flow modelling can improve our understanding of vascular pathologies and aid in
developing safe and effective medical devices. Vascular flow models typically involve …

The use of constitutive equations calibrated from data has been implemented into standard
numerical solvers for successfully addressing a variety problems encountered in simulation …

Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid
electric vehicles) due to their high energy and power density. However, this raises new …

Sparse model identification by means of data is especially cumbersome if the sought
dynamics live in a high dimensional space. This usually involves the need for large amount …

Digital twins can be defined as digital representations of physical entities that employ real‐
time data to enable understanding of the operating conditions of these entities. Here we …

This work proposes a novel multi-output neural network for the prediction of aerodynamic
coefficients of aerofoils in two dimensions and wings in three dimensions. Contrary to …

This chapter presents an overview of Model Order Reduction–a new paradigm in the field of
simulationbased engineering sciences, and one that can tackle the challenges and leverage …

The accurate approximation of high-dimensional functions is an essential task in uncertainty
quantification and many other fields. We propose a new function approximation scheme …