The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

Electrochemical flow reactors are increasingly relevant platforms in emerging sustainable
energy conversion and storage technologies. As a prominent example, redox flow batteries …

Understanding the pipeline scour mechanism under different conditions is essential for
protection measures. The computational fluid dynamics (CFD) and discrete element method …

At the core of redox flow reactors, the design of the flow field geometry–which distributes the
liquid electrolyte through the porous electrodes–and the porous electrode microstructure …

The purpose of this research elaborates the behaviour of the two-phase hybrid nano-fluid
flow of viscous fluid through the stretching sheet. Impacts of heat transfer, for MHD two …

The electrode thickness is a critical design parameter to engineer high performance redox
flow cells by impacting the available surface area for reactions, current and potential …

Currently, hollow fiber membranes are the standard technology for extracorporeal
membrane oxygenators. Apart from the inevitable contact of the circulating blood with the …

The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

Abstract The Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) model
integrated with the Volume of Fluid (VOF) method is applied to study the complex gas-fluid …

Analytical modelling is an effective tool for predicting reservoir behaviour under high
uncertainties, like CO 2 storage in aquifers, where multiple simulation runs are necessary for …