Sustained and rapid advances in computing have enabled the conduct of direct numerical
simulations (DNS) at increasing problem sizes and higher levels of physical realism, which …

In this paper, we develop a multivariate regression model and a neural network model to
predict the Reynolds number (Re) and Nusselt number in turbulent thermal convection. We …

In this paper, we extend Grossmann and Lohse's (GL) model [S. Grossmann and D.
Lohse,“Thermal convection for large Prandtl numbers,” Phys. Rev. Lett. 86, 3316 (2001)] for …

We analyze the Prandtl number (Pr) dependence of spectra and fluxes of kinetic energy, as
well as the energy injection rates and dissipation rates, of turbulent thermal convection using …

The use of graphics processing units (GPUs) has facilitated unprecedented performance
gains for computational fluids dynamics in recent years. In many industries this has enabled …

We adopt the stretched spiral vortex sub-grid model for large-eddy simulation (LES) of
turbulent convection at extreme Rayleigh numbers. We simulate Rayleigh–Bénard …

The laws that govern natural systems can often be modelled mathematically using partial
differential equations (PDEs). Usually the resultant PDEs are not solvable analytically …

Understanding the behavior of the kinetic energy spectrum and flux in two-dimensional (2D)
turbulent thermal convection remains a challenge. In this paper, using high-resolution direct …

The present work focuses on the effect of rough horizontal boundaries on the heat transfer in
rotating Rayleigh–Bénard convection. We measure the non-dimensional heat transfer, the …

Numerical simulations in studying thermal–hydraulic behavior in sodium-cooled fast
reactors (SFR) have gained attention for their safety and cost advantages. While low-fidelity …