Alloy modelling has a history of machine-learning-like approaches, preceding the tide of
data-science-inspired work. The dawn of computational databases has made the integration …

The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …

Refractory high-entropy alloys (RHEAs) are designed for high elevated-temperature
strength, with both edge and screw dislocations playing an important role for plastic …

The synergy of multiple deformation mechanisms responsible for the excellent mechanical
properties attracts an increasing interest in CoCrNi medium entropy alloy (MEA). In this …

Lithium–sulfur batteries (LSBs) are among the most promising energy storage technologies
due to the low cost and high abundance of S. However, the issue of polysulfide shuttling with …

The role of short-range ordering (SRO) in the dislocation kinetics in refractory high-entropy
alloys (RHEAs) remains controversial. On one hand, it was shown by simulations that the …

Metallic alloys are critical to essentially all advanced technologies and engineered systems.
The well-documented impact of corrosion (and oxidation) of alloys, remains a significant …

We develop a fast and accurate machine-learned interatomic potential for the Mo-Nb-Ta-VW
quinary system and use it to study segregation and defects in the body-centered-cubic …

Multi-component alloys have demonstrated excellent performance in various applications,
but the vast range of possible compositions and microstructures makes it challenging to …

Specimens of a CoCrFeMnNi high entropy alloy with different content of nitrogen (0.5–2.0
at.%) were prepared by induction melting. Microstructure and tensile mechanical behavior of …