Physics-informed machine-learning (PIML) enables the integration of domain knowledge
with machine learning (ML) algorithms, which results in higher data efficiency and more …

Gas-solid fluidized beds have drawn the attention of engineers and researchers as an
effective technology for a large variety of applications, and numerical simulations can play …

Over the past two decades, an upsurge in using Computational Fluid Dynamics (CFD) for
wind design on tall buildings has been observed. An extensive amount of work has been …

Abstract Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM) instabilities are well-known
pathways towards turbulent mixing layers, in many cases characterized by significant mass …

Abstract Large Eddy Simulation (LES) undeniably has the potential to provide more accurate
and more reliable results than simulations based on the Reynolds-averaged Navier-Stokes …

Turbulent flows are characterized by the non-linear cascades of energy and other inviscid
invariants across a huge range of scales, from where they are injected to where they are …

Wake effects within a wind farm are identified as one of the main factors impacting wind farm
power production and fatigue loading on wind turbines' structural elements. An efficient …

In computational fluid dynamics simulations of industrial flows, models based on the
Reynolds-averaged Navier–Stokes (RANS) equations are expected to play an important …

Gas-solid fluidization technology has been commercialized in many industrial applications
since its implementation in the fluid catalytic cracking process in the early 1940s, however …

Cavitation within a tip leakage flow remains a challenging issue in a variety of axial
hydraulic machines. It is still not possible nowadays to predict cavitation occurrence in such …