This study evaluates a surrogate modeling approach that provides rapid ensemble
predictions of air pollutant dispersion in urban environments for varying meteorological …

Nonlinear evolution equations appear in various branches of physics, including fluid
dynamics, solid mechanics, quantum mechanics, and other fields. They are essential for …

Physics informed neural networks (PINNs) have been explored extensively in the recent
past for solving various forward and inverse problems for facilitating querying applications in …

This study develops a precise and cost-effective method for reducing the complexity of
cryogenic hydrogen unintended release. For this purpose, the dominant modes of a well …

Understanding turbulent flow over two-dimensional hills is important for microscale
meteorology research and application. Most of the existing work focuses on only one hill …

This study aims at estimating the inherent variability of microscale boundary-layer flows and
its impact on air pollutant dispersion in urban environments. For this purpose, we present a …

In this paper, we are interested by the large-scale structures and dynamics of turbulent von
Kármán (vK) swirling flows. In particular, we investigate the symmetry properties of these …

In the context of air quality control, our objective is to quantify the impact of uncertain inputs
such as meteorological conditions and traffic parameters on pollutant dispersion maps. It is …

Because of the complex turbulent flow dynamics caused by interactions between the
atmospheric surface layer and the urban topography, forecasting microscale pollutant …

Safe and efficient methods for storing and transporting liquid hydrogen are crucial for
decarbonisation. This study develops a precise method for analysing complex cryogenic …