In the last decade, many research groups have reported predictions of jet noise using high-
fidelity large-eddy simulations (LES) of the turbulent jet flow and these methods are …

The predictive capabilities of turbulent flow simulations, critical for aerodynamic design and
weather prediction, hinge on the choice of turbulence models. The abundance of data from …

While data-based approaches were found to be useful for subgrid scale (SGS) modeling in
Reynolds-averaged Navier-Stokes (RANS) simulations, there have not been many attempts …

Wall modelling in large-eddy simulation (LES) is necessary to overcome the prohibitive near-
wall resolution requirements in high-Reynolds-number turbulent flows. Most existing wall …

To improve the accuracy of hydrofoil unsteady cavitation simulations, we investigate grid
irrelevance and discrete error using the GCI evaluation method to determine the optimal …

In this work, a data-driven wall model for turbulent flows over periodic hills is developed
using the feedforward neural network (FNN) and data from wall-resolved large-eddy …

The problems of causality, modeling, and control for chaotic, high-dimensional dynamical
systems are formulated in the language of information theory. The central quantity of interest …

A major drawback of Boussinesq-type subgrid-scale stress models used in large-eddy
simulations is the inherent assumption of alignment between large-scale strain rates and …

We present a publicly accessible database specifically designed to aid in the conception,
training, demonstration, evaluation, and comparison of reduced-complexity models for fluid …

This work presents a feature-rich open-source library for wall-modelled large-eddy
simulation (WMLES), which is a turbulence modelling approach that reduces the …