Recent research has highlighted the potential of supercritical fluids under high-pressure
transcritical conditions to achieve microconfined turbulence as a result of the thermophysical …

Supercritical fluids possess unique properties that makes them relevant in various scientific
and engineering applications. However, the experimental investigation of these fluids is …

Microduct flows are known for their inherent laminar regimes resulting from the characteristic
small dimensions and low velocities. In this regard, direct numerical simulations are …

Numerical simulations of compressible turbulent flows governed by real-gas equations of
state, such as high-pressure transcritical flows, are strongly susceptible to instabilities. In …

Transcritical turbulent flows are governed by the compressible Navier–Stokes equations
along with a real-gas equation of state. Their computation is strongly susceptible to …

Empirical heat transfer correlations serve as indispensable tools for predicting and
optimizing the thermal performance of a wide range of engineering devices, like for example …

A dimensionally consistent physics-informed neural network, named DimNet, has been
developed to predict dryout quality in helical coils. Central to its design is the automated and …

This study presents a novel two-stage machine learning algorithm that identifies dominant
dimensionless numbers for critical heat flux (CHF) prediction, circumventing the limitations of …

In the literature, numerical heat transfer analysis of supercritical carbon dioxide (sCO 2) is
often conducted in idealized tubular geometries to better understand its fundamental …