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

With the continuous progress and development in biomedicine, metallic biomedical
materials have attracted significant attention from researchers. Due to the low compatibility …

With the development of artificial intelligence, machine learning has a wide range of
applications in the field of materials. The sparsity of data on the mechanical properties of …

High-entropy alloys (HEAs) represent prospective applications considering their outstanding
mechanical properties. The properties in HEAs can be affected by the phase structure …

The phase and hardness of high entropy alloys (HEA) were predicted using machine
learning models trained on large experimental datasets. The chemical composition was …

We have found that body-centered cubic (bcc) HfMoNbTiZr is a type-II BCS high-entropy
alloy (HEA) superconductor with a superconducting critical temperature of T c= 4.1 K. By …

We report the magnetic properties, electrical resistivity, and Vickers microhardness of as-
cast and annealed high-entropy alloys (HEAs) FeCoNiPd and FeCoNiPt with the face …

Located around the center of multicomponent phase space, multi-principal element alloys
(MPEAs) are often characterized with a unique blend of contrasting physico-chemical …

High-entropy alloys (HEAs) have attracted much attention for laser additive manufacturing,
due to their superb mechanical properties. However, their industry application is still …

The discovery of materials with improved properties can be accelerated by models with the
ability to combine data from multiple experimental information sources. A recurring task in …