Recent progress in the machine learning-assisted rational design of alloys

H Fu, H Zhang, C Wang, W Yong, J Xie - International Journal of Minerals …, 2022 - Springer
Alloys designed with the traditional trial and error method have encountered several
problems, such as long trial cycles and high costs. The rapid development of big data and …

[PDF][PDF] Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques

W Yi, G Liu, J Gao, L Zhang - Journal of Materials Informatics, 2021 - academia.edu
Casting aluminum alloys are commonly used in industries due to their excellent
comprehensive performance. Alloying/microalloying and post-solidification heat treatments …

[HTML][HTML] Machine learning assisted design of aluminum-lithium alloy with high specific modulus and specific strength

H Li, X Li, Y Li, W Xiao, K Wen, Z Li, Y Zhang, B Xiong - Materials & Design, 2023 - Elsevier
Advanced aluminum-lithium alloys are the key structural materials urgently needed for the
development of light-weighted aircraft in the aerospace field. In this study, we employ a …

Design of super-hard high-entropy ceramics coatings via machine learning

X Xu, X Wang, S Wu, L Yan, T Guo, K Gao, X Pang… - Ceramics …, 2022 - Elsevier
High-entropy ceramic coatings have some unique physical and mechanical properties, such
as high hardness, good corrosion resistance and excellent thermal stability. However, since …

Machine learning assisted materials design of high-speed railway wheel with better fatigue performance

XY Fang, JE Gong, F Zhang, HN Zhang… - Engineering Fracture …, 2023 - Elsevier
To improve the fatigue fracture resistance of high-speed railway wheels, this paper studies
the matching optimization design of microscopic crystal parameters of wheel materials …

[HTML][HTML] Ultrafine-grained Mg alloy: preparation, properties, design strategy

P Peng, H Xue, J She, J Zhang, A Tang, S Long… - Journal of Materials …, 2024 - Elsevier
As the lightest metal structural materials, Mg alloys have great application potential in
transportation, aerospace, and biomedicine. However, the further application is hindered by …

A reverse design model for high-performance and low-cost magnesium alloys by machine learning

X Mi, L Tian, A Tang, J Kang, P Peng, J She… - Computational Materials …, 2022 - Elsevier
Developing high-performance, low-cost magnesium (Mg) alloys using conventional plastic
forming processes is a tremendous challenge with great potential for commercial …

Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations

J Gao, J Zhong, G Liu, S Zhang, J Zhang… - … and Technology of …, 2023 - Taylor & Francis
Scandium is the best alloying element to improve the mechanical properties of industrial Al-
Si-Mg casting alloys. Most literature reports devote to exploring/designing optimal Sc …

Towards high stiffness and ductility-The Mg-Al-Y alloy design through machine learning

Z Liu, T Wang, L Jin, J Zeng, S Dong, F Wang… - Journal of Materials …, 2024 - Elsevier
In traditional trial-and-error method, enhancing the Young's modulus of magnesium alloys
while maintaining a favorable ductility has consistently been a challenge. It is a need to …

[HTML][HTML] Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimization

X Mi, L Dai, X Jing, J She, B Holmedal, A Tang… - Journal of Magnesium …, 2024 - Elsevier
Magnesium (Mg), being the lightest structural metal, holds immense potential for widespread
applications in various fields. The development of high-performance and cost-effective Mg …