There is intense interest in uncovering design rules that govern the formation of various
structural phases as a function of chemical composition in multi-principal element alloys …

Multi-principal element alloys (MPEAs) especially high entropy alloys have attracted
significant attention and resulted in a novel concept of designing metal alloys via exploring …

We demonstrate the capabilities of two model-agnostic local post-hoc model interpretability
methods, namely breakDown (BD) and shapley (SHAP), to explain the predictions of a black …

Purpose The purpose of this paper, is to predict the various phases and crystal structure
from multi-component alloys. Nowadays, the concept and strategies of the development of …

We utilize a machine-learning force field, trained by a neural network (NN) with bispectrum
coefficients as descriptors, to investigate the chemical short-range order (SRO) influences …

Eutectic multi-principal element alloys (MPEAs) present a vast compositional space of
eutectics, providing a great potential to tailor mechanical performance. However, only limited …

The classification of miscible and immiscible systems of binary alloys plays a critical role in
the design of multicomponent alloys. By mining data from hundreds of experimental phase …

Multi-principal element alloys (MPEAs), inclusive of high entropy alloys (HEAs), continue to
attract significant research attention owing to their potentially desirable properties. Although …

Multi-principal element alloys (MPEAs) with remarkable performances possess great
potential as structural, functional, and smart materials. However, their efficient performance …

On the one hand, multi-principal element alloys (MPEAs) have created a paradigm shift in
alloy design due to large compositional space, whereas on the other, they have presented …