The application of three-dimensional (3D) printing/Additive Manufacturing (AM) for
developing multi-functional smart/intelligent composite materials is a highly promising area …

In the design and development of novel materials that have excellent mechanical properties,
classification and regression methods have been diversely used across mechanical …

The difference in the mechanical behaviors of dilute solid solutions, complex solid solutions
and their corresponding strengthening mechanisms, is an evolving field of study. An …

Superconductivity allows electric conductance with no energy losses when the ambient
temperature drops below a critical value (T c). Currently, the machine learning (ML)-based …

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 …

We present a new classical interatomic potential designed for simulation of the W-Mo-Nb
system. The angular-dependent format of the potential allows for reproduction of many …

A model based on the Physics-Informed Neural Networks (PINN) for solving elastic
deformation of heterogeneous solids and associated Uncertainty Quantification (UQ) is …

This article presents an overview of the emerging themes in Autonomous Materials
Discovery and Manufacturing (AMDM). This interdisciplinary field is garnering a growing …

In a material under stress, grain boundaries may give rise to stress discontinuities. Stress
localization is crucial to materials' behavior such as segregation, precipitation, and void …

Efficient design of complex concentrated alloys (CCAs) requires knowledge of constituent
elements and their fundamental properties, phase selection, phase-fractions and …