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RESEARCH PAPER · Applied Physics Letters · 2021

Structure prediction in high-entropy alloys with machine learning

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42 direct citing works

Structure prediction in high-entropy alloys with machine learningOriginalInfluence of Refractory Elements on Mechanical Properties of High Entropy Alloys25Machine learning assisted modelling and design of solid solution hardened high entropy alloys97High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications107High entropy alloys towards industrial applications: High-throughput screening and experimental investigation66A Focused Review on Engineering Application of Multi-Principal Element Alloy45High‐entropy intermetallics: from alloy design to structural and functional properties70Metastable high entropy alloys9High-Throughput CALPHAD: A Powerful Tool Towards Accelerated Metallurgy33Insights on phase formation from thermodynamic calculations and machine learning of 2436 experimentally measured high entropy alloys41Machine learning discovery of a new cobalt free multi-principal-element alloy with excellent mechanical properties34High Entropy Materials - Microstructures and Properties16Multicomponent Precipitation and Strengthening in Intermetallic-Strengthened Alloys8Phase prediction and effect of intrinsic residual strain on phase stability in high-entropy alloys with machine learning56Creating win-wins from strength–ductility trade-off in multi-principal element alloys by machine learning24Simulation and Calculation for Predicting Structures and Properties of High-Entropy Alloys12Crucial feature space for ductile bcc high-entropy alloys7A Boosted Machine Learning Framework for the Improvement of Phase and Crystal Structure Prediction of High Entropy Alloys Using Thermodynamic and Configurational Parameters0A review on high-throughput development of high-entropy alloys by combinatorial methods76GAASP: Genetic Algorithm-Based Atomistic Sampling Protocol for High-Entropy Materials2Recent advances in computational design of structural multi-principal element alloys21Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook78Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique47A Novel Crystal Structure Prediction Using Hybrid Method0Phase prediction for high-entropy alloys using generative adversarial network and active learning based on small datasets20Data-driven analysis and prediction of stable phases for high-entropy alloy design50Complex multiphase predicting of additive manufactured high entropy alloys based on data augmentation deep learning18Machine learning guided BCC or FCC phase prediction in high entropy alloys44Design and Selection of High Entropy Alloys for Hardmetal Matrix Applications Using a Coupled Machine Learning and Calculation of Phase Diagrams Methodology16Determining magnetic properties of high entropy alloys by molar volume difference predicted by machine learning2Influence of Welding Parameters on Strength of Metal Inert Gas Welded Mild Steel Joints0Chemical short-range-order induced multiscale strengthening in refractory medium entropy alloys10Laser cladding technology for high entropy alloys: effect and applications34Improved machine learning framework for prediction of phases and crystal structures of high entropy alloys10Enhanced phase prediction of high-entropy alloys through machine learning and data augmentation23Phase Formation in Vacuum Arc Melted High Entropy Alloys: Insights From Machine Learning and Experimental Validation3Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering12Enhancing phase characterization of AlCuCrFeNi high entropy alloys using hybrid machine learning models: A comprehensive XRD analysis11Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys11High-entropy electromagnetic functional materials: From electromagnetic genes to materials design79Machine Learning-Enabled Prediction and Mechanistic Analysis of Compressive Yield Strength–Hardness Correlation in High-Entropy Alloys1Machine learning-driven alloy digital design for hydrogen storage: a review12Exploration of ductility for refractory high entropy alloys via interpretive machine learning4Phase prediction and mechanical responses of high-entropy alloys9Deformation mechanisms of AlCoCrCuFeNi: A molecular dynamics and machine learning approach4Recent advances in the high entropy materials for advanced energy storage with machine learning6Research on the interpretability of high entropy alloy phase structure prediction based on data-driven0High-entropy alloy catalysts: from foundational thermodynamics to machine learning-enabled discovery and closed-loop optimization for electrocatalytic applications0

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  10. Machine learning discovery of a new cobalt free multi-principal-element alloy with excellent mechanical properties

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  12. Multicomponent Precipitation and Strengthening in Intermetallic-Strengthened Alloys

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  19. GAASP: Genetic Algorithm-Based Atomistic Sampling Protocol for High-Entropy Materials

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  23. A Novel Crystal Structure Prediction Using Hybrid Method

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  24. Phase prediction for high-entropy alloys using generative adversarial network and active learning based on small datasets

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

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  29. Determining magnetic properties of high entropy alloys by molar volume difference predicted by machine learning

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