Optimization strategies of high-entropy alloys for electrocatalytic applications
L Xiao, 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 …
Tailoring the strengthening mechanisms of high-entropy alloys toward excellent strength-ductility synergy by metalloid silicon alloying: A review
Metalloids and transition/refractory elements typically differ significantly in the electronic
structure and atomic size, allowing for stronger solid-solution hardening in high-entropy …
structure and atomic size, allowing for stronger solid-solution hardening in high-entropy …
Deformation-induced martensitic transformations: A strategy for overcoming the strength-ductility trade-off in high-entropy alloys
MS Mehranpour, N Rasooli, HS Kim… - Current Opinion in Solid …, 2024 - Elsevier
High-entropy alloys (HEAs) have become an important topic in modern materials science
due to their exceptional properties. Despite their attractive properties, achieving a superior …
due to their exceptional properties. Despite their attractive properties, achieving a superior …
[HTML][HTML] Unraveling phase prediction in high entropy alloys: A synergy of machine learning, deep learning, and ThermoCalc, validation by experimental analysis
The phase formation in high entropy alloys (HEAs) presents a significant challenge due to
the complexity of their composition and the intricate interactions between multiple elements …
the complexity of their composition and the intricate interactions between multiple elements …
[HTML][HTML] Enhancing flow stress predictions in CoCrFeNiV high entropy alloy with conventional and machine learning techniques
A machine learning technique leveraging artificial intelligence (AI) has emerged as a
promising tool for expediting the exploration and design of novel high entropy alloys (HEAs) …
promising tool for expediting the exploration and design of novel high entropy alloys (HEAs) …
[HTML][HTML] Optimizing microwave-assisted synthesis of akermanite nanoparticles using citric acid as a chelating agent: A combined machine learning and experimental …
This study aims to synthesize akermanite (Ca 2 MgSi 2 O 7) using an eco-friendly and fast
microwave-assisted method and understand the effect of using citric acid (CA) as a chelating …
microwave-assisted method and understand the effect of using citric acid (CA) as a chelating …
Analysis of the possibility of using exploration and learning algorithms in the production of castings
The research presented in the article indicates the process of building models based on
machine learning algorithms, linear regression, decision trees, ensemble learning, random …
machine learning algorithms, linear regression, decision trees, ensemble learning, random …
Enhanced strength of (CoFeNiMn)100−xCrx (x = 5, 20, 35 at.%) high entropy alloys via formation of carbide phases produced from industrial-grade raw materials
G Polat - Materials Testing, 2024 - degruyter.com
Abstract (CoFeNiMn) 100− xCrx (x= 5, 20, 35 at.%) HEAs were produced using vacuum arc
melting followed by suction casting using industrial-grade raw materials and subsequent …
melting followed by suction casting using industrial-grade raw materials and subsequent …