Batteries, particularly lithium-ion batteries, play an important role in powering our modern
world, from portable devices to electric vehicles and renewable energy storage. However …

This work introduces a complete study of freshwater productivity prediction of a solar-driven
humidification-dehumidification unit (HDH) based on experimental and machine learning …

Artificial intelligence (AI) is shifting the paradigm of two-phase heat transfer research. Recent
innovations in AI and machine learning uniquely offer the potential for collecting new types …

Liquid hydrogen has attracted widespread attention due to industrial decarbonization as an
excellent carrier of renewable energy accommodation. Accurate prediction of the heat …

The utilization of supercritical carbon dioxide (S-CO 2) as a working fluid in energy
conversion systems has gained widespread recognition as an efficient and environmentally …

There are a limited number of studies in the literature on the effect of curved fins on heat
transfer. In this study, the effect of novel fin geometry and angle of attack of winglet (α= 30° …

Subcooled flow boiling in mini channels has considerable prospects in thermal
management applications. However, due to the scale effect and complex behaviors of …

Organic Rankine cycle (ORC) is an effective technology for engine waste heat recovery.
However, when engine loads and cooling water temperature are variable, the optimization …

With growing heat dissipation from advanced electronics, two-phase cooling promises
effective and unmatched cooling. A pumped two-phase loop (P2PL) can acquire high power …

The aim of this article is to introduce a novel approach to identifying flow regimes and void
fractions in microchannel flow boiling, which is based on binary image segmentation using …