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Melt viscosity of light alloys: Progress and challenges
The viscosity of molten metals is a critical parameter influencing melt fluidity, alloy forming
quality, and casting performance. It is therefore essential to maintain melt viscosity within an …
quality, and casting performance. It is therefore essential to maintain melt viscosity within an …
Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning
Despite the use of inorganic glasses for more than 4500 years, the composition–property
relationships in these materials remain poorly understood. Here, exploiting largescale …
relationships in these materials remain poorly understood. Here, exploiting largescale …
Statistical mechanical modeling of glass-forming systems: A practical review considering an example calcium silicate system
Abstract The Glass Genome has only started to be explored. To advance the next generation
design of glasses, both physics-informed and data-driven models must be widely available …
design of glasses, both physics-informed and data-driven models must be widely available …
Prediction of optical properties of oxide glass combined with autoencoder and machine learning
C Liu, H Su - Journal of Non-Crystalline Solids, 2024 - Elsevier
The composition of oxide glasses is characterized by high dimensionality and sparsity,
making it challenging to establish high-precision predictive models. Therefore, feature …
making it challenging to establish high-precision predictive models. Therefore, feature …
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 …
regulating many hyperparameters. In this paper, a deep forest (DF) model with a few …
Exploring a general convolutional neural network-based prediction model for critical casting diameter of metallic glasses
J Hu, S Yang, J Mao, C Shi, G Wang, Y Liu… - Journal of Alloys and …, 2023 - Elsevier
Metallic glasses (MGs) as emerging amorphous materials have attracted considerable
interest due to their excellent mechanical, physical, and chemical properties. However, the …
interest due to their excellent mechanical, physical, and chemical properties. However, the …
Machine learning unveils composition-property relationships in chalcogenide glasses
Due to their unique optical and electronic functionalities, chalcogenide glasses are materials
of choice for numerous microelectronic and photonic devices. However, to extend the range …
of choice for numerous microelectronic and photonic devices. However, to extend the range …
Numerical and atomistic models for predicting structural relaxation in glasses
C Wilkinson - Computational Materials Science, 2024 - Elsevier
From optical fiber to high-tech displays, glass relaxation plays a critical role. Due to the non-
equilibrium nature of glass, there is a constant evolution associated with relaxation that …
equilibrium nature of glass, there is a constant evolution associated with relaxation that …
[HTML][HTML] Basic thermodynamic and dynamic characteristics of the glass forming intermetallics
J Wang, Z Cai, H Kang, B Huo, Y Zhang, Y Gao, Z Li… - Materials & Design, 2024 - Elsevier
Recent studies on intermetallic glasses challenged the conventional cognition that the glass
formability would be deteriorated by the presence of intermetallics. To reveal the vitrification …
formability would be deteriorated by the presence of intermetallics. To reveal the vitrification …
Composition dependence in glass-forming ability of Cu–Ag binary alloys
BQ Wu, LT Kong, JF Li - Acta Materialia, 2022 - Elsevier
Alloys around eutectic points are thought to be good glass formers. However, the glass-
forming ability (GFA) as a function of composition from pure metals to the eutectic alloy has …
forming ability (GFA) as a function of composition from pure metals to the eutectic alloy has …