Spatial artificial neural network (ANN) models are developed for subgrid-scale (SGS) forces
in the large eddy simulation (LES) of turbulence. The input features are based on the first …

This investigation questions the importance of inverse interscale energy fluxes, the so-called
energy backscatter, for the modelling of the energy cascade in large-eddy simulations (LES) …

By analysing the Karman–Howarth equation for filtered-velocity fields in turbulent flows, we
show that the two-point correlation between the filtered strain-rate and subfilter stress …

Large eddy simulations of turbulent flows are powerful tools used in many engineering and
geophysical settings. Choosing the right value of the free parameters for their subgrid scale …

We expand on a recent determination of the first global energy spectrum of the ocean's
surface geostrophic circulation (Storer et al., 2022, https://doi. org/10.1038/s41467-022 …

Traditional finishing technology is difficult to realize the precision machining of complex
geometric parts. Abrasive flow machining technology solves this problem well. Taking the …

We study fluctuations of all co-existing energy exchange/transfer/transport processes in
stationary periodic turbulence including those that average to zero and are not present in …

A class of spectral subgrid models based on a self-similar and reversible closure is studied
with the aim to minimize the impact of subgrid scales on the inertial range of fully developed …

Turbulence, a captivating and intricate phenomenon, continues to attract researchers across
diverse scientific disciplines. Despite considerable efforts, turbulence remains a fascinating …

Aiming at the practical processing problems such as the difficulty of polishing the inner
surface of the S-shaped elbow with wall openings and the difficulty of removing the burrs at …