Recent applications of machine learning in alloy design: A review
The history of machine learning (ML) can be traced back to the 1950 s, and its application in
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …
alloy design has recently begun to flourish and expand rapidly. The driving force behind this …
Accelerated and conventional development of magnetic high entropy alloys
High-entropy alloys (HEA) are of high current interest due to their unique and attractive
combination of structural, physical, chemical or magnetic properties. HEA comprise multiple …
combination of structural, physical, chemical or magnetic properties. HEA comprise multiple …
A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
Trapped by time-consuming traditional trial-and-error methods and vast untapped
composition space, efficiently discovering novel high entropy alloys (HEAs) with exceptional …
composition space, efficiently discovering novel high entropy alloys (HEAs) with exceptional …
Design high-entropy carbide ceramics from machine learning
High-entropy ceramics (HECs) have shown great application potential under demanding
conditions, such as high stresses and temperatures. However, the immense phase space …
conditions, such as high stresses and temperatures. However, the immense phase space …
Machine-learning and high-throughput studies for high-entropy materials
The combination of multiple-principal element materials, known as high-entropy materials
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …
(HEMs), expands the multi-dimensional compositional space to gigantic stoichiometry. It is …
[HTML][HTML] Improvement of the machine learning-based corrosion rate prediction model through the optimization of input features
Y Diao, L Yan, K Gao - Materials & Design, 2021 - Elsevier
The corrosion resistance of low-alloy steel seriously influences its performance, particularly
as a class of materials widely used in marine environments. In this study, we collected the …
as a class of materials widely used in marine environments. In this study, we collected the …
A focused review on machine learning aided high-throughput methods in high entropy alloy
L Qiao, Y Liu, J Zhu - Journal of Alloys and Compounds, 2021 - Elsevier
High-entropy alloys (HEAs) have attracted tremendous attention in various fields due to
unique microstructures and many excellent properties. For particular applications, an in …
unique microstructures and many excellent properties. For particular applications, an in …
[HTML][HTML] Tunable magnetic phase transition and magnetocaloric effect in the rare-earth-free Al-Mn-Fe-Co-Cr high-entropy alloys
Y Zhang, J Zhu, Z Hao, W Hao, Z Mo, L Li - Materials & Design, 2023 - Elsevier
In the present study, the structure, magnetic phase transition, and magnetocaloric
performance of Al 20 Mn 20 Fe 20 Co 14.5+ x Cr 25.5-x (x= 0, 1, and 2), a series of typical …
performance of Al 20 Mn 20 Fe 20 Co 14.5+ x Cr 25.5-x (x= 0, 1, and 2), a series of typical …
Machine learning accelerates the materials discovery
J Fang, M Xie, X He, J Zhang, J Hu, Y Chen… - Materials Today …, 2022 - Elsevier
As the big data generated by the development of modern experiments and computing
technology becomes more and more accessible, the material design method based on …
technology becomes more and more accessible, the material design method based on …
Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys
More than $270 billion is spent on combatting corrosion annually in the USA alone. As such,
we present a machine-learning (ML) approach to down select corrosion-resistant alloys. Our …
we present a machine-learning (ML) approach to down select corrosion-resistant alloys. Our …