Perspectives on novel refractory amorphous high-entropy alloys in extreme environments

Tunes, Matheus A.; Vo, H.T.; Baldwin, Jon K.; Saleh, Tarik A.; Fensin, Saryu; El-Atwani, Osman

doi:10.1016/j.apmt.2023.101796

Cited by 3 publications

(3 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although AM phases have received comparatively less attention in the field, their prediction holds immense value for the scientific community. Recent studies 72 , 73 have reported significant phase stability of AM HEAs in extreme environments. Recent findings have also shown that AM HEAs have the ability to maintain their structural integrity under extreme conditions, offering new perspectives and opportunities for their application in various industries.…”

Section: Resultsmentioning

confidence: 99%

“…Following meticulous data cleaning, we obtained a comprehensive dataset comprising 5,692 records with 50 different elements. The significance of single, dual, or triple-phase HEAs, particularly those with IM or AM phases, has garnered increasing attention in recent studies due to their specific applications 27 , 37 , 67 , 68 , 72 , 73 . Despite this significance, no ML model or dataset has adequately addressed the classification of them in the context of HEAs thus far.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Data-driven analysis and prediction of stable phases for high-entropy alloy design

Peivaste,

Jossou,

Tiamiyu

2023

Sci Rep

View full text Add to dashboard Cite

High-entropy alloys (HEAs) represent a promising class of materials with exceptional structural and functional properties. However, their design and optimization pose challenges due to the large composition-phase space coupled with the complex and diverse nature of the phase formation dynamics. In this study, a data-driven approach that utilizes machine learning (ML) techniques to predict HEA phases and their composition-dependent phases is proposed. By employing a comprehensive dataset comprising 5692 experimental records encompassing 50 elements and 11 phase categories, we compare the performance of various ML models. Our analysis identifies the most influential features for accurate phase prediction. Furthermore, the class imbalance is addressed by employing data augmentation methods, raising the number of records to 1500 in each category, and ensuring a balanced representation of phase categories. The results show that XGBoost and Random Forest consistently outperform the other models, achieving 86% accuracy in predicting all phases. Additionally, this work provides an extensive analysis of HEA phase formers, showing the contributions of elements and features to the presence of specific phases. We also examine the impact of including different phases on ML model accuracy and feature significance. Notably, the findings underscore the need for ML model selection based on specific applications and desired predictions, as feature importance varies across models and phases. This study significantly advances the understanding of HEA phase formation, enabling targeted alloy design and fostering progress in the field of materials science.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Data-driven analysis and prediction of stable phases for high-entropy alloy design

Peivaste,

Jossou,

Tiamiyu

2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Specifically, RCCAs and RHEAs are distinguished by their ability to maintain strength at temperatures substantially higher than Ni-based superalloys, with some maintaining mechanical integrity up to about 0.6-0.7 times their absolute melting temperature. These alloys, especially those with higher melting points, exhibit effective strength within a considerable temperature range, such as 1363-1941 K (1090-1668 • C), depending on their melting point thresholds [90][91][92].…”

Section: Applications Of High-entropy Alloys In Extreme Conditionsmentioning

confidence: 99%

A Modern Approach to HEAs: From Structure to Properties and Potential Applications

Nartita,

Ionita,

Demetrescu

2024

Crystals

View full text Add to dashboard Cite

High-entropy alloys (HEAs) are advanced materials characterized by their unique and complex compositions. Characterized by a mixture of five or more elements in roughly equal atomic ratios, these alloys diverge from traditional alloy formulations that typically focus on one or two principal elements. This innovation has paved the way for subsequent studies that have expanded our understanding of HEAs, highlighting the role of high mixing entropy in stabilizing fewer phases than expected by traditional phase prediction methods like Gibbs’s rule. In this review article, we trace the evolution of HEAs, discussing their synthesis, stability, and the influence of crystallographic structures on their properties. Additionally, we highlight the strength–ductility trade-off in HEAs and explore strategies to overcome this challenge. Moreover, we examine the diverse applications of HEAs in extreme conditions and their promise for future advancements in materials science.

show abstract

A Review of Irradiation-Tolerant Refractory High-Entropy Alloys

Wang,

Yang,

Shu

et al. 2023

Metals

View full text Add to dashboard Cite

Along with the globalization of environmental problems and the rapid development of the field of nuclear technologies, the severe irradiation damage of materials has become a big issue, restricting the development of advanced nuclear reactor systems. Refractory high-entropy alloys (RHEAs) have the characteristics of a complex composition, a short-range order, and lattice distortion and possess a high phase stability, outstanding mechanical properties, and excellent irradiation resistance at elevated temperatures; thus, they are expected to be promising candidates for advanced nuclear reactors. This review summarizes the design, preparation, and irradiation resistance of irradiation-tolerant RHEAs. It encompasses a comprehensive analysis of various aspects, including the evolution of defects, changes in microstructure, and the degradation in properties. Furthermore, the challenges and insufficiently researched areas regarding these alloys are identified and discussed. Building on this foundation, the review also provides a forward-looking perspective, outlining potential avenues for future research.

show abstract

Perspectives on novel refractory amorphous high-entropy alloys in extreme environments

Cited by 3 publications

References 43 publications

Data-driven analysis and prediction of stable phases for high-entropy alloy design

Data-driven analysis and prediction of stable phases for high-entropy alloy design

A Modern Approach to HEAs: From Structure to Properties and Potential Applications

A Review of Irradiation-Tolerant Refractory High-Entropy Alloys

Contact Info

Product

Resources

About