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 …

High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional
mechanical properties and the vast compositional space for new HEAs. However …

Additive manufacturing produces net-shaped components layer by layer for engineering
applications,,,,,–. The additive manufacture of metal alloys by laser powder bed fusion (L …

In human-made malleable materials, microdamage such as cracking usually limits material
lifetime. Some biological composites, such as bone, have hierarchical microstructures that …

Eutectic high-entropy alloys (EHEAs), as a sub-group of high-entropy alloys (HEAs), are
becoming a new research hotspot in the metallic materials community because of their …

The history of machine learning (ML) can be traced back to the 1950 s, and its application in
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …

Abstract 3D printing of high-strength alloys enables efficient manufacturing of complex
metallic components. Yet, the as-built parts are often characterized by unsatisfied ductility …

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