Synthetic jets are useful fluid devices with several industrial applications. In this study, we
use the flow fields generated by two synchronously operating synthetic jets and simulated …

This article presents an innovative open-source software named ModelFLOWs-app, 1
written in Python, which has been created and tested to generate precise and robust hybrid …

The modeling of chemical kinetics holds many challenges, as well as a necessity for more
efficient modeling techniques, together with dimensionality reduction techniques. This work …

In fluid mechanics, modal decomposition, deeply intertwined with the concept of symmetry,
is an essential data analysis method. It facilitates the segmentation of parameters such as …

The purpose of this study is to quantify the information overlap between the OH*
chemiluminescence signal and the three-dimensional Particle Image Velocimetry (PIV) …

This paper introduces a new series of methods which combine modal decomposition
algorithms, such as singular value decomposition and high-order singular value …

This article introduces a novel, fully data-driven method for forming reduced order models
(ROMs) in complex flow databases that consist of a large number of variables. The algorithm …

Accurately predicting three-dimensional power distribution within a reactor core during
reactivity transients is crucial for optimizing reactor operational control. This paper proposes …

This article introduces a novel methodology that integrates singular value decomposition
(SVD) with a shallow linear neural network for forecasting high resolution fluid mechanics …

This paper presents a new method capable of reconstructing datasets with great precision
and very low computational cost using a novel variant of the singular value decomposition …