Materials machine learning (ML) is revolutionizing various areas in a fast speed, aiming to
efficiently design novel materials with superior performance. Here we reviewed the recent …

Casting aluminum alloys are commonly used in industries due to their excellent
comprehensive performance. Alloying/microalloying and post-solidification heat treatments …

Magnesium alloys are emerging as promising alternatives to traditional orthopedic implant
materials thanks to their biodegradability, biocompatibility, and impressive mechanical …

Develo** high-performance, low-cost magnesium (Mg) alloys using conventional plastic
forming processes is a tremendous challenge with great potential for commercial …

This work is aimed to investigate the relationship between the texture and tensile properties
of the AZ31 Mg alloy by the machine learning method. The texture characteristics …

Two mechanical properties, fracture toughness (KIC) and bending strength (σ), of silicon
nitride (Si3N4) ceramics were determined from their microstructural images via …

Hall-Petch slope (k) is an important material parameter, while there is a great challenge to
accurately predict the k value of magnesium alloys due to a high dependence of k on the …

Mg alloys possess an inherent plastic anisotropy owing to the selective activation of
deformation mechanisms depending on the loading condition. This characteristic results in a …

Magnesium (Mg) has a strong application potential as a lightweight metal. Yet, its absolute
strength still needs improvement. In this work, we demonstrate that machine learning can be …

The continual development and implementation of machine learning (ML) technology in the
alloy research has proved its great potential in the past few years, making it a prominent …