Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Modal decomposition techniques are showing a fast growth in popularity for their wide range
of applications and their various properties, especially as data-driven tools. There are many …

Purpose To introduce dynamic mode decomposition (DMD) as a robust alternative for the
assessment of pulmonary functional information from dynamic non‐contrast‐enhanced …

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 …

This work presents a new application of higher order dynamic mode decomposition
(HODMD) for the analysis of reactive flows. Due to the high complexity of the data analysed …

Abstract A novel Dynamic Mode Decomposition (DMD) technique capable of handling non–
uniformly sampled data is proposed. As it is usual in DMD analysis, a linear relationship …

Heart diseases are the main international cause of human defunction. According to the
WHO, nearly 18 million people decease each year because of heart diseases. Also …

With the increase in collected data volumes, either from experimental measurements or high
fidelity simulations, there is an ever-growing need to develop computationally efficient tools …

Background Extracting phenotype-representative flow patterns and their associated
numerical metrics is a bottleneck in the clinical translation of advanced cardiac flow imaging …

A novel reduced-order model (ROM) based on higher order dynamic mode decomposition
(HODMD) is proposed for the time series prediction of ship course-keeping motion in waves …