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 …

Reflecting the fast pace of research in the field, the Second Edition of Bulk Metallic Glasses
has been thoroughly updated and remains essential reading on the subject. It incorporates …

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 …

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 …

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 …

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 …

The prediction accuracy of current mainstream machine learning (ML) models depends on
regulating many hyperparameters. In this paper, a deep forest (DF) model with a few …

Nowadays, the development of new bulk metallic glasses (BMGs) is still subject to repeated
testing. To address this challenging problem, this paper proposes the random forest (RF) …

A new criterion or parameter χ given by\left (T_ x-T_ g T_ l-T_ x\right) *\left (T_ x T_ l-T_
x\right)^ a T xT g T lT x× T x T lT xa (wherein T g is the glass transition temperature, T x the …

Glass-forming ability (GFA) of bulk metallic glasses (BMGs) is a determinant parameter
which has been significantly studied. GFA improvements could be achieved through trial …