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 …
[HTML][HTML] Current application status of multi-scale simulation and machine learning in research on high-entropy alloys
D Jiang, L Xie, L Wang - Journal of Materials Research and Technology, 2023 - Elsevier
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 …
High-throughput calculations for high-entropy alloys: a brief review
High-entropy alloys (HEAs) open up new doors for their novel design principles and
excellent properties. In order to explore the huge compositional and microstructural spaces …
excellent properties. In order to explore the huge compositional and microstructural spaces …
Machine learning strategies for high-entropy alloys
The study of high-entropy (HE) alloys has seen dramatic growth in recent years as, in some
cases, these systems can exhibit exceptional properties, including enhanced oxidation …
cases, these systems can exhibit exceptional properties, including enhanced oxidation …
Predictive multiphase evolution in Al-containing high-entropy alloys
The ability to predict and understand phases in high-entropy alloys (HEAs) is still being
debated, and primarily true predictive capabilities derive from the known thermodynamics of …
debated, and primarily true predictive capabilities derive from the known thermodynamics of …
Searching for high entropy alloys: A machine learning approach
K Kaufmann, KS Vecchio - Acta Materialia, 2020 - Elsevier
For the past decade, considerable research effort has been devoted toward computationally
identifying and experimentally verifying single phase, high-entropy systems. However …
identifying and experimentally verifying single phase, high-entropy systems. However …
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 …
Machine learning guided appraisal and exploration of phase design for high entropy alloys
High entropy alloys (HEAs) and compositionally complex alloys (CCAs) have recently
attracted great research interest because of their remarkable mechanical and physical …
attracted great research interest because of their remarkable mechanical and physical …
Impact of lattice relaxations on phase transitions in a high-entropy alloy studied by machine-learning potentials
Recently, high-entropy alloys (HEAs) have attracted wide attention due to their extraordinary
materials properties. A main challenge in identifying new HEAs is the lack of efficient …
materials properties. A main challenge in identifying new HEAs is the lack of efficient …
[HTML][HTML] Deep learning-based phase prediction of high-entropy alloys: Optimization, generation, and explanation
Identifying phase information of high-entropy alloys (HEAs) can be helpful as it provides
useful information such as anticipated mechanical properties. Recently, machine learning …
useful information such as anticipated mechanical properties. Recently, machine learning …