Review on the research and development of Ti-based bulk metallic glasses

P Gong, L Deng, J Jin, S Wang, X Wang, K Yao - Metals, 2016 - mdpi.com
Ti-based bulk metallic glasses (BMGs) are very attractive for applications because of their
excellent properties such as high specific strength and high corrosion resistance. In this …

[HTML][HTML] A machine-learning approach to predicting and understanding the properties of amorphous metallic alloys

J Xiong, SQ Shi, TY Zhang - Materials & design, 2020 - Elsevier
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 …

[HTML][HTML] Insights into metal glass forming ability based on data-driven analysis

T Gao, Y Ma, Y Liu, Q Chen, Y Liang, Q Xie, Q Xiao - Materials & Design, 2023 - Elsevier
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 …

New criterion of glass forming ability for bulk metallic glasses

XH Du, JC Huang, CT Liu, ZP Lu - Journal of applied physics, 2007 - pubs.aip.org
It has been confirmed that glass-forming ability (GFA) is related to not only liquid phase
stability but also the crystallization resistance. In this study, it was found the liquidus …

Key feature space for predicting the glass-forming ability of amorphous alloys revealed by gradient boosted decision trees model

XW Liu, ZL Long, W Zhang, LM Yang - Journal of Alloys and Compounds, 2022 - Elsevier
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 …

[图书][B] Beryllium chemistry and processing

KA Walsh - 2009 - books.google.com
This book introduces beryllium; its history, its chemical, mechanical, and physical properties
including nuclear properties. The 29 chapters include the mineralogy of beryllium and the …

Rational design and glass-forming ability prediction of bulk metallic glasses via interpretable machine learning

T Long, Z Long, Z Peng - Journal of Materials Science, 2023 - Springer
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 …

A new correlation between the characteristics temperature and glass-forming ability for bulk metallic glasses

Z Long, W Liu, M Zhong, Y Zhang, M Zhao… - Journal of Thermal …, 2018 - Springer
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 …

Recent progress in quantifying glass-forming ability of bulk metallic glasses

ZP Lu, H Bei, CT Liu - Intermetallics, 2007 - Elsevier
The γ parameter proposed by the authors has prompted a lot of new interests in quantifying
glass-forming ability (GFA) of bulk metallic glasses (BMGs). As a result, many different GFA …

Thermodynamically-guided machine learning modelling for predicting the glass-forming ability of bulk metallic glasses

A Ghorbani, A Askari, M Malekan… - Scientific Reports, 2022 - nature.com
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 …