The machine learning (ML) approach, motivated by artificial intelligence (AI), is an inspiring
mathematical algorithm that accurately simulates many engineering processes. Machine …

This numerical modelling has enabled the prediction of wear rates in different materials and
for different sliding conditions. It has also enabled the development of more efficient and …

We demonstrate that our bio-electrochemical platform facilitates the reduction of detection
time from the 3-day period of the existing tests to 15 min. Machine learning and robotized …

Ceramic coatings were prepared on the surface of 6061 aluminum alloy using micro arc
oxidation (MAO) with high concentration of polyethylene glycol (PEG200) as electrolyte. In …

Artificial neural networks (ANNs) have been widely employed in performance testing and life
prediction throughout the entire life cycle of coatings due to their self-learning and arbitrary …

This study adds fluoride to the electroless nickel-phosphorus (Ni–P) plating solution to
prevent the deterioration of MAO-coated AZ31B Magnesium alloy after contact with an …

Corrosion is a major challenge to ensuring the durability and structural integrity of steel
structures, particularly under harsh environmental conditions. In this work, we explored the …

With the pressing need to expedite the transition toward a greener marine industry, energy-
efficient and eco-friendly lithium-ion batteries (LIBs) are increasingly favored. However …

Zn–Ni electrophosphate coating is one of the most commonly used materials in industrial
applications. The corrosion resistance of this coating is very important in order to achieve the …

PEO constitutes a promising surface technology for the development of protective and
functional ceramic coatings on lightweight alloys. Despite its interesting advantages …