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Optimization strategies of high-entropy alloys for electrocatalytic applications
L **ao, Z Wang, J Guan - Chemical Science, 2023 - pubs.rsc.org
High-entropy alloys (HEAs) are expected to become one of the most promising functional
materials in the field of electrocatalysis due to their site-occupancy disorder and lattice order …
materials in the field of electrocatalysis due to their site-occupancy disorder and lattice order …
A review on laser cladding of high-entropy alloys, their recent trends and potential applications
Abstract High-Entropy Alloys (HEAs) are a promising class of metallic materials that have
allured the world of material science and engineering. These intriguing materials are …
allured the world of material science and engineering. These intriguing materials are …
Five decades of research on the development of eutectic as engineering materials
We present a brief review and perspective on the development of eutectic alloys,
emphasizing the emergence of complex microstructures during eutectic solidification of …
emphasizing the emergence of complex microstructures during eutectic solidification of …
A new strategy for the design of triple-phase eutectic high-entropy alloys based on infinite solid solution and pseudo-ternary method
X Ye, Z Diao, H Kang, Z Li, J Li, Z Qu, L Wang… - Nano Letters, 2024 - ACS Publications
Eutectic high-entropy alloys (EHEAs) have combined both high-entropy alloys and eutectic
alloy contributions, with excellent castability and high-temperature application potential. Yet …
alloy contributions, with excellent castability and high-temperature application potential. Yet …
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 …
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 …
Evolution of phase stability and structural properties in CrFeNiTiV high-entropy alloy under high-temperature heat treatment conditions
A novel equiatomic CrFeNiTiV high entropy alloy (HEA) was prepared by mechanical
alloying (MA) and following spark plasma sintering (SPS). Further, the effects of heat …
alloying (MA) and following spark plasma sintering (SPS). Further, the effects of heat …
Prediction of nanoindentation creep behavior of tungsten-containing high entropy alloys using artificial neural network trained with Levenberg–Marquardt algorithm
This paper describes the synthesis of tungsten-containing high-entropy alloys (HEAs). The
synthesis method involves a powder metallurgy process, and spark plasma sintering (SPS) …
synthesis method involves a powder metallurgy process, and spark plasma sintering (SPS) …
Strong‐Yet‐Ductile Eutectic Alloys Employing Cocoon‐Like Nanometer‐Sized Dislocation Cells
P Shi, Y Li, X Jiang, Z Shen, R Li, Z Lin, Q Li… - Advanced …, 2024 - Wiley Online Library
Eutectic alloys (EAs) with superior fluidity are known to be the easiest to cast into high‐
quality ingots, making them the alloys of choice for making large‐sized structural parts …
quality ingots, making them the alloys of choice for making large‐sized structural parts …
Application of artificial neural network to predict the crystallite size and lattice strain of CoCrFeMnNi high entropy alloy prepared by powder metallurgy
An equiatomic CoCrFeMnNi high entropy alloy (HEA) was prepared by the gas atomization
process. In addition, high-energy milling was carried out to study the effects of milling …
process. In addition, high-energy milling was carried out to study the effects of milling …