Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

Hydrogen (H 2) solubility is a crucial parameter for industrial processes. This study utilises
various Machine Learning (ML) techniques, including Decision Tree (DT), Multilayer …

Deep eutectic solvents (DES) are recently synthesized to cover limitations of conventional
solvents. These green solvents have wide ranges of potential usages in real-life …

Sulfur dioxide (SO 2) is one of the main atmospheric pollutants and an active threat to
human health. SO2 separation from industrial flue gases improves air quality, decreases …

Almost all industries produce a large quantity of dye-contaminated wastewater. Wastewaters
containing a high dosage of methylene blue (MB) are a menace for human beings, the …

Zirconium-titanium-based AB 2 is a potential candidate for hydrogen storage alloys and
NiMH battery electrodes. Machine learning (ML) has been used to discover and optimize the …

Arsenic in drinking water is a serious threat for human health due to its toxic nature and
therefore, its eliminating is highly necessary. In this study, the ability of different novel and …

Hydrogen is a clean and sustainable renewable energy source with significant potential for
use in energy storage applications because of its high energy density. In particular …

Biodegradable polymers have recently found significant applications in pharmaceutics
processing and drug release/delivery. Composites based on poly (L-lactic acid)(PLLA) have …

Biomass has attracted significant interest as a renewable energy source recently. This study
employs different artificial intelligence (AI) scenarios to determine biomass heat capacity …