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 …
Light-weight refractory high-entropy alloys: A comprehensive review
In recent years, high-entropy alloys (HEAs) have become a research hotspot in materials
community, and great progress has been made in exploring various high-performance …
community, and great progress has been made in exploring various high-performance …
Latest progress on refractory high entropy alloys: Composition, fabrication, post processing, performance, simulation and prospect
B Chen, L Zhuo - International Journal of Refractory Metals and Hard …, 2023 - Elsevier
Breaking through the design concept of conventional high-temperature alloys, refractory
high entropy alloys (RHEAs) exhibited increasingly alloy systems and excellent …
high entropy alloys (RHEAs) exhibited increasingly alloy systems and excellent …
Machine learning paves the way for high entropy compounds exploration: challenges, progress, and outlook
Abstract Machine learning (ML) has emerged as a powerful tool in the research field of high
entropy compounds (HECs), which have gained worldwide attention due to their vast …
entropy compounds (HECs), which have gained worldwide attention due to their vast …
[HTML][HTML] Machine learning assisted modelling and design of solid solution hardened high entropy alloys
X Huang, C Jin, C Zhang, H Zhang, H Fu - Materials & Design, 2021 - Elsevier
High entropy alloys (HEAs) are considered as a way to unlock the unlimited potentials of
materials during material design, where solid solution hardening (SSH) is one of the major …
materials during material design, where solid solution hardening (SSH) is one of the major …
The oxidation-resistance mechanism of WTaNbTiAl refractory high entropy alloy
The WTaNbTiAl alloy demonstrated excellent oxidation resistance with a 31.83 mg/cm 2 of
specific mass gain after 48 h oxidation at 1000° C in the air environment. Based on the multi …
specific mass gain after 48 h oxidation at 1000° C in the air environment. Based on the multi …
Data-driven discovery of a formation prediction rule on high-entropy ceramics
The interest in high entropy ceramics (HECs) has increased steadily due to their superior
properties. However, the prediction of their formation still poses challenges for the discovery …
properties. However, the prediction of their formation still poses challenges for the discovery …
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 …
Machine-learning-guided phase identification and hardness prediction of Al-Co-Cr-Fe-Mn-Nb-Ni-V containing high entropy alloys
A machine learning technique based on artificial intelligence (AI) has emerged as a
potential tool for accelerating the search and design of new high entropy alloys (HEAs) and …
potential tool for accelerating the search and design of new high entropy alloys (HEAs) and …
Additive manufacturing of in-situ strengthened dual-phase AlCoCuFeNi high-entropy alloy by selective electron beam melting
M Zhang, X Zhou, D Wang, L He, X Ye… - Journal of Alloys and …, 2022 - Elsevier
The application scope and market demand for additive-manufactured high-entropy alloys
(AM HEAs) have broadened of late. However, a long-standing problem associated with AM …
(AM HEAs) have broadened of late. However, a long-standing problem associated with AM …