The review summarizes some achievements of materials scientists in designing high
entropy alloys (HEAs) and develo** production routs for their industrial implementation, as …

Alloying traditionally enhances material properties by adding small amounts of secondary
elements to a primary base. Over the past decade and a half, a revolutionary strategy has …

In this work, the extract of acanthopanax senticosus leaf (ASLE), prepared using one-step
pure water extraction method, is firstly utilized as a sustainable eco-friendly corrosion …

More than $270 billion is spent on combatting corrosion annually in the USA alone. As such,
we present a machine-learning (ML) approach to down select corrosion-resistant alloys. Our …

Novel high-entropy alloys (HEAs) of the Ti (30–x) VCrNb (x)(x= 0, 5, 10, 15, and 20 at%)
system were designed, synthesized, and characterized. The microstructural features were …

Owing to their exceptional properties, high-entropy alloys (HEAs) and high-entropy materials
have emerged as promising research areas and shown diverse applications. Here, the …

Using inputs from first-principles calculations, an ab initio model was employed to
investigate crystal orientation dependent corrosion behavior of BCC iron. Results showed …

This work evaluated the phase prediction capability of high entropy alloys using four
supervised machine learning models K-Nearest Neighbors (KNN), Multinomial Regression …

This work investigated the effects of L1 2 nanoprecipitates on the electrochemical corrosion
behavior and passive film characteristics of CoCrNiAlTi-type high-entropy alloys (HEAs) in …

This study demonstrates the use of machine learning as a potential tool to efficiently develop
new biomedical alloys with improved corrosion resistance by exploring the whole …