Machine learning for high-entropy alloys: Progress, challenges and opportunities
High-entropy alloys (HEAs) have attracted extensive interest due to their exceptional
mechanical properties and the vast compositional space for new HEAs. However …
mechanical properties and the vast compositional space for new HEAs. However …
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 …
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 …
Strain partitioning enables excellent tensile ductility in precipitated heterogeneous high-entropy alloys with gigapascal yield strength
High entropy alloys (HEAs) with grain-scale heterogeneous structure and coherent
precipitates have shown gigapascal strength and considerable ductility. However, the …
precipitates have shown gigapascal strength and considerable ductility. However, the …
[HTML][HTML] Current application status of multi-scale simulation and machine learning in research on high-entropy alloys
High-entropy alloys (HEAs) have garnered significant attention across various fields owing
to their unique design incorporating multi-principal elements and remarkable …
to their unique design incorporating multi-principal elements and remarkable …
A neural network model for high entropy alloy design
A neural network model is developed to search vast compositional space of high entropy
alloys (HEAs). The model predicts the mechanical properties of HEAs better than several …
alloys (HEAs). The model predicts the mechanical properties of HEAs better than several …
Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique
Compared to conventional alloys, multicomponent high-entropy alloys (HEAs) have
received considerable attention in recent years owing to their exceptional phase stability …
received considerable attention in recent years owing to their exceptional phase stability …
Break the strength-ductility trade-off in a transformation-induced plasticity high-entropy alloy reinforced with precipitation strengthening
D Huang, Y Zhuang - Journal of Materials Science & Technology, 2022 - Elsevier
Transformation-induced plasticity (TRIP) endows material with continuous work hardening
ability, which is considered as a powerful weapon to break the strength-ductility tradeoff …
ability, which is considered as a powerful weapon to break the strength-ductility tradeoff …
A strong and ductile NiCoCr-based medium-entropy alloy strengthened by coherent nanoparticles with superb thermal-stability
In this work, we designed a novel NiCoCr-based medium-entropy alloy (MEA) strengthened
by coherent L1 2-nanoparticles, ie,(NiCoCr) 92 Al 6 Ta 2 (at.%). The strengthening and …
by coherent L1 2-nanoparticles, ie,(NiCoCr) 92 Al 6 Ta 2 (at.%). The strengthening and …
The critical grain size for optimal strength–ductility synergy in CrCoNi medium entropy alloy
FJ Guo, YF Wang, MS Wang, W Wei, Q He, QY Wang… - Scripta Materialia, 2022 - Elsevier
In metals with homogeneous microstructure, whether there is a critical grain size, and
exactly at which, that enables the optimal strength-ductility synergy alongside the trade-off …
exactly at which, that enables the optimal strength-ductility synergy alongside the trade-off …