high-entropy alloysapplicationbiomedicineenergycatalystsmagnetocaloric effectFrom the accumulated data on the structure, properties, stability, methods for obtaining high-entropy alloys (HEAs), created at the beginning of the 21st century, a whole range of useful properties were discovered, which allows ...
Even though many works are done to understand the characteristic of these HEAs, very few works are made on how the HEAs can be applied for commercial uses. This work discusses the application of High entropy alloys in biomedical applications.;The coronary heart disease, the leading cause of ...
Introducing emerging high entropy alloys materials into advanced intelligent manufacturing for laser additive repair is expected to promote the deep integration of new generation of materials and manufacturing technology and greatly improve the utilizati
Thermal properties of high-entropy RE-disilicates controlled by high throughput composition design and optimization 2023, Materials and Design Show abstract Current application status of multi-scale simulation and machine learning in research on high-entropy alloys 2023, Journal of Materials Research and ...
4a, resulting in a slight shift of the melting temperature as discussed further below. Discussion A hierarchical approach for efficient calculations of the liquid free energy of high entropy alloys with ab initio accuracy has been introduced. The approach integrates EAM, MTP, and DFT to achieve ...
The understanding, rational design, and application of high-entropy alloys as excellent electrocatalysts: A review High-entropy alloys (HEAs) are attracting considerable attention in the field of electrocatalysis. In many cases, HEAs exhibit excellent activity and selec... Y Zhou,X Shen,M Wang,.....
High-entropy alloySoft magnetic propertiesMechanical propertiesElectrical resistivityHigh-frequencyPower lossMagnetic high-entropy alloys (HEAs) can be processed to have a relatively high saturation magnetization (or induction), but usually exhibit a relatively high coercivity of above 200 A/m. In ...
In recent years, machine learning has been widely used in many fields of research, such as superconductivity, thermoelectrics, photovoltaics, catalysis, and high-entropy alloys. In this review, the basic principles of machine learning are briefly outlined. Several commonly used algorithms in machine ...
Important applications of the (generalized) stacking fault method in lightweight and high-entropy alloys are demonstrated in details with research by us and other researchers. Last but not least, some generalizations of the generalized stacking fault method are discussed, among which is our new ...
- 《Journal of Pipeline Systems Engineering & Practice》 被引量: 0发表: 2022年 Application of Machine Learning Algorithms With and Without Principal Component Analysis for the Design of New Multiphase High Entropy Alloys Experimental data comparison confirms the improvement of accuracy for the decision...