Melt viscosity of light alloys: Progress and challenges

Y Fu, H Li, K Tang, S Yang, Y Shi, B Liu, Q Luo… - Journal of Materials …, 2024 - Elsevier
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 …

Understanding the compositional control on electrical, mechanical, optical, and physical properties of inorganic glasses with interpretable machine learning

R Bhattoo, S Bishnoi, M Zaki, NMA Krishnan - Acta materialia, 2023 - Elsevier
Despite the use of inorganic glasses for more than 4500 years, the composition–property
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

CJ Wilkinson, CL Trivelpiece, JC Mauro - Current Opinion in Solid State …, 2022 - Elsevier
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 …

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 …

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 …

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 …

Machine learning unveils composition-property relationships in chalcogenide glasses

SM Mastelini, DR Cassar, E Alcobaça, T Botari… - Acta Materialia, 2022 - Elsevier
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 …

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 …

[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 …

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 …