Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

There is a pressing need to shorten the development period for new materials possessing
desired properties. For example, bulk metallic glasses (BMGs) are a unique class of alloy …

Scientists have extensively studied metallic glasses (MGs) for their excellent properties and
potential applications. However, the limited glass forming ability (GFA) of MGs poses a …

Bulk metallic glasses (BMGs) are a unique class of materials that are gaining traction in a
wide variety of applications due to their attractive physical properties. One limitation to the …

Using a trial and error method to measure amorphous forming ability in the experiment is a
complex and time-consuming process. Therefore, it is necessary to devise a method that can …

High entropy alloys and amorphous metallic alloys represent two distinct classes of
advanced alloy materials, each with unique structural characteristics. Their emergence has …

The glass forming ability (GFA) is a problem of great concern in the research of amorphous
materials. It is of great significance to understand the physical mechanism of GFA and to …

Predicting mechanical properties such as yield strength (YS) and ultimate tensile strength
(UTS) is an intricate undertaking in practice, notwithstanding a plethora of well-established …

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

The prediction of the glass-forming ability (GFA) of metallic glasses (MGs) can accelerate the
efficiency of their development. In this paper, a dataset was constructed using experimental …