Lattice distortion is a basic characteristic of multi-principal element alloys (MPEAs), or high
entropy alloys (HEAs). The severe lattice distortion strategy is an effective way to improve …

Based on the hypothesis of lattice distortion, compositional complexity of high entropy alloys
(HEAs) induces severe lattice distortion. Recent studies on the experimental and theoretical …

The phase formation and stability of high-entropy alloys (HEAs) are crucial to their
properties, but the efficient prediction of them remains challenging due to the associated …

High entropy alloys (HEAs) have attracted great attention due to their impressive properties
induced by the severe lattice distortion in comparison to the conventional alloys. However …

Developing a machine learning (ML) based high-entropy alloys (HEA) prediction model is
an advanced method to improve the traditional trial-and-error experiments with a long period …

Despite outstanding and unique properties, the structure-property relationship of high
entropy alloys (HEAs) is not well established. The machine learning (ML) is used to …

The multi-principal element alloys (MPEAs), which are also called high-entropy alloys
(HEAs) or medium-entropy alloys (MEAs) based on the multi-principal element number …

It is critical to select the suitable integration of elements that has an influence on phase
formation when selecting the proper High Entropy Alloys (HEAs) with desired qualities …

Systematic variations of chemical compositions in TiNbHfTaZr HEA system were designed
for an investigation of compositional complexity and chemical composition effects on lattice …

Valence electron concentration (VEC) was treated as a useful parameter to predict the
stability of solid solution phases. However, the available experimental data to support this …