Soft magnetic alloys play a critical role in power conversion, magnetic sensing, magnetic
storage and electric actuating, which are fundamental components of modern technological …

Four machine learning (ML) models including eXtreme Gradient boosting (XGBT), k-Nearest
Neighbor (kNN), Gradient Boosting Decision Tree (GBDT) and Artificial Neural Network …

Early diagnosis of pathological markers can significantly shorten the rate of viral
transmission, reduce the probability of infection, and improve the cure rate of diseases …

In order to develop the Mg− Zn− Ag metallic glasses (MGs) for biodegradable implant
applications, the glass formation ability (GFA) and biocompatibility of Mg− Zn− Ag alloys …

Bismuth borate cadmium zinc glasses were prepared using melt quenching technique for
shielding applications. The glasses had the composition (80-x) B 2 O 3-xBi 2 O 3-10CdO …

ABSTRACT A unified constitutive model is established to predict the plastic flow behavior of
face-centered cubic (FCC) metal in the ultrasonic vibration (UV) assisted forming. The model …

The limited glass-forming ability (GFA) poses a significant challenge for the practical
applications of metallic glasses (MGs). The development of high-GFA MGs typically involves …

High-entropy metallic glasses (HE-MGs) have drawn much attention as promising
multifunctional materials combining the excellent soft magnetic properties of traditional …

This study introduces a novel machine learning framework, integrating domain knowledge,
to accurately predict the bearing capacity of CFSTs, bridging the gap between traditional …

Fe-based metallic glasses (MGs) have attracted extensive interest owing to the excellent soft
magnetic properties. However, discovering Fe-based MGs with high saturation magnetic flux …