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RESEARCH PAPER · Tungsten · 2022

Overview: recent studies of machine learning in phase prediction of high entropy alloys

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Overview: recent studies of machine learning in phase prediction of high entropy alloysOriginalAccelerated discovery of single-phase refractory high entropy alloys assisted by machine learning98Rational design of high-entropy ceramics based on machine learning – A critical review52Recent advances and outstanding challenges for implementation of high entropy alloys as structural materials55Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook78Machine learning enabled customization of performance-oriented hydrogen storage materials for fuel cell systems72Crack propagation and mechanical properties simulation of G/(HfNbTaTiZr)C–Al2O3 gradient composites15Research progress of high entropy alloy: Surface treatment improves friction and wear properties75Data-driven analysis and prediction of stable phases for high-entropy alloy design50High-temperature oxidation behavior of transition metal complex concentrated alloys (TM-CCAs): a comprehensive review5Understanding the role of solvents in bottom-up synthesis of multi-element hydroxides5Excellent strength-ductility combination of interstitial non-equiatomic middle-entropy alloy subjected to cold rotary swaging and post-deformation annealing8Kinetically Controlled Synthesis of Metallic Glass Nanoparticles with Expanded Composition Space37Two-Dimensional SiH/g-C3N4 van der Waals Type-II Heterojunction Photocatalyst: A New Effective and Promising Photocatalytic Material13Microstructure evolution under He2+ ions irradiation in a high entropy alloy designed by constructing nanostructure engineering7Machine learning guided efficiency improvement for Sn‐based perovskite solar cells with efficiency exceeding 20%43Predicting the formation enthalpy and phase stability of (Ti,Al,TM)N (TM = III-VIB group transition metals) by high-throughput ab initio calculations and machine learning9Phase stability and transition of CrTaVW high-entropy alloy11Research progress and development tendency on storage mechanism of multi‐principal element alloys for hydrogen/tritium storage38Synthesis of High-Entropy Rare Earth (Y0.2 La0.2 Nd0.2 Sm0.2 Gd0.2) BO4 (B = Cr, Mo, W) Oxide Powders0Achieving strength–ductility synergy in novel paramagnetic Fe‐based medium‐entropy alloys through deep cryogenic deformation14Six‐principal‐component high‐entropy carbonitride aerogel thermal insulator: Theoretical and experimental studies6Tune Al/Ti to adjust FCC+L21 hetero-structured Ni-based high-entropy alloys for improved mechanical properties and wear resistance72Sensing-performance improvement of 2D MoSH based gas sensors for detecting NO, NO2, and NH3 gas molecules12Nanoprecipitate improves high strain-rate deformability in a high-entropy alloy18Rapid Assessment of Stable Crystal Structures in Single-Phase High-Entropy Alloys via Graph Neural Network-Based Surrogate Modelling2Theoretical advances and future perspectives of all-inorganic germanium-based perovskites9High-entropy oxides: Emergent materials for electrochemical energy storage and conversion50Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering12Third-generation thermodynamic descriptions of MoNbTaWHfZr refractory high entropy alloys and their phase stability6Prediction of Composite Performance of Refractory and Ceramic Materials Based on Deep Learning3Machine Learning-Based Computational Design Methods for High-Entropy Alloys49New analytical parameters for B2 phase prediction as a complement to multiclass phase prediction using machine learning in multicomponent alloys: A computational approach with experimental validation7Machine Learning-Assisted Process Optimization of Al-Mg-Si Alloys8Microstructure stability of Ti-V-Zr-Nb-Hf-Ta refractory multi-principal-element alloys annealed at intermediate temperature7Effects of high-entropy alloy binders on the microstructure and mechanical/thermal properties of cemented carbides12Design Approaches of High‐Entropy Alloys Using Artificial Intelligence: A Review27Machine learning assisted phase prediction of refractory multi-component alloys based on data from low-, medium-, and high-entropy alloys10Accelerated computational design of BCC refractory high entropy alloys using metaheuristics, CALPHAD, and artificial neural networks7Effect of Zr addition on the structure, nanomechanical properties, and helium irradiation behavior of the novel MoTaTiV body-centered cubic concentrated solid solution alloy1Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties18Prediction of Hardness and Fracture Toughness in High-Entropy Alloy Bonded Cemented Carbides through Machine Learning6In situ tuning of FCC–BCC dual phase and mechanical properties in multi‐principal element alloys via laser‐aided additive manufacturing11Solid-state hydrogen storage alloys for production-storage and transportation-application coupling at ambient temperature: A review53Accelerated design of high-entropy alloys via probabilistic substitution and machine learning with first-principles validation of phase stability4A Basic Principles of High-Entropy Alloys0A Comprehensive Review of the Computational Approaches for Structure–Property Prediction of High Entropy Materials0Electrospun high-entropy oxide nanofibers: Current research, fabrication, and advanced applications2Fabrication, application, and phase formation rules in high-entropy alloys2Prospect and advancement of high-entropy alloys as solid-state hydrogen storage materials for large-scale applications7Data-Driven Design of Single-Phase High-Entropy Ultra-High-Temperature Ceramics0High-temperature sliding wear behaviour of HVOF-sprayed TiC-based hardmetals with HEA matrices0High-Temperature Oxidation Behaviors of AlCoCrFeNi2.1 and CoCrFeNiNb0.5 Eutectic High-Entropy Alloys: A Machine Learning-Assisted Design and Mechanism Study1Data-driven and intelligent design of high-entropy alloys: A review of machine learning across composition, microstructure, and properties0The validation and verification of high-throughput equivalent ternary CALPHAD algorithm for thermodynamic properties of multicomponent Ti alloys0Al-induced multi-scale precipitates for enhanced wear resistance in AlxCoCrNi1.5 eutectic high-entropy alloys0

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  6. Crack propagation and mechanical properties simulation of G/(HfNbTaTiZr)C–Al2O3 gradient composites

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  7. Research progress of high entropy alloy: Surface treatment improves friction and wear properties

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

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  9. High-temperature oxidation behavior of transition metal complex concentrated alloys (TM-CCAs): a comprehensive review

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  12. Kinetically Controlled Synthesis of Metallic Glass Nanoparticles with Expanded Composition Space

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  14. Microstructure evolution under He2+ ions irradiation in a high entropy alloy designed by constructing nanostructure engineering

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  16. Predicting the formation enthalpy and phase stability of (Ti,Al,TM)N (TM = III-VIB group transition metals) by high-throughput ab initio calculations and machine learning

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  17. Phase stability and transition of CrTaVW high-entropy alloy

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  19. Synthesis of High-Entropy Rare Earth (Y0.2 La0.2 Nd0.2 Sm0.2 Gd0.2) BO4 (B = Cr, Mo, W) Oxide Powders

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  22. Tune Al/Ti to adjust FCC+L21 hetero-structured Ni-based high-entropy alloys for improved mechanical properties and wear resistance

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