This study presents a broad view of the current state of the art of ML applications in the
manufacturing sectors that have a considerable impact on sustainability and the …

The demand for green energy is expanding, and it seems that hydrogen is the best option
that can be produced and stored in large quantities. Hydrogen is a promising energy carrier …

Chemical engineers rely on models for design, research, and daily decision-making, often
with potentially large financial and safety implications. Previous efforts a few decades ago to …

The urgency of mitigating climate change comes with opportunities to transition society
towards a more sustainable future. Numerous options exist for immediate, deep, and …

Abstract Artificial Neural Networks (ANN) have been widely used by scientists in a variety of
energy modes (biomass, wind, solar, geothermal, and hydroelectric). This review highlights …

A dual-Z-scheme heterojunction consisting of WS 2-WO 3· H 2 O and gC 3 N 4-WO 3· H 2 O
was prepared through coupling partially oxidized WS 2 with gC 3 N 4. The suitable band …

The use of machine learning (ML) in catalysis has been significantly increased in recent
years due to the astonishing developments in data processing technologies and the …

Hydrogen production from different fuels has received extensive study interest owing to its
environmental sustainability, renewability, and lack of carbon emission. This research aims …

This articles reviews some of the latest trends within renewable energy sources based on
biomass, solar, wind and wave technologies as well as integrated renewable energy-based …

In this paper, the plate-heat transfer type bio-methanol steam reforming reactor for hydrogen
fuel cell vehicles and its operation performance was studied. The structure of the plate-heat …