In this work, the effects of Cl-, Ca 2+, and Mg 2+ on the corrosion inhibition performance of 2-
mercaptopyrimidine (2-MP) were investigated. The analysis reveals a marked reduction in …

Accurate corrosion predictions are vital to safe and optimised designs of marine assets.
Traditional approaches, including those used to develop rule requirements, seek to use …

Electrochemical impedance spectroscopy (EIS) is widely used to assess the corrosion of
metals and the performance of protective coatings. However, its interpretation can be non …

There are obvious differences in the corrosion process of materials in different climatic
regions, and it is of great significance to establish the corrosion process model considering …

Machine learning techniques have been used to develop many regression models to make
predictions based on experience and historical data. They might be used singly or in …

Medicinal plants are reported to possess antiviral activity, but finding the substances that are
responsible for antiviral activity in the complex mixture of the plant extract is an extremely …

Machine learning (ML) has been rapidly revolutionizing many fields and plays a vital role in
materials science. To understand the microstructure of steels and even obtain optimized …

This study proposed an expert system approach on the basis of artificial intelligence (AI) in
the modeling of cyclic voltammogram (CV) profiles of green tea extracts. AI approach of …

Pitting corrosion is the most common, dangerous, and destructive corrosion type in marine
and offshore structures. This type of corrosion can reduce the strength of the ship plate, so …

Summary LiNi0. 5Mn1. 5O4 (LNMO), a high‐voltage spinel, has attracted great attention
owing to its low cost and high operating voltage. Many great efforts have been devoted to …