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RESEARCH PAPER · Journal of Alloys and Compounds · 2022

Phase prediction and effect of intrinsic residual strain on phase stability in high-entropy alloys with machine learning

Huinan Chang, Yiwen Tao, Peter Kaehuei Liaw, Jingli Ren

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Phase prediction and effect of intrinsic residual strain on phase stability in high-entropy alloys with machine learningOriginalOverview: recent studies of machine learning in phase prediction of high entropy alloys56Machine learning accelerated design of a family of AlxCrFeNi medium entropy alloys with superior high temperature mechanical and oxidation properties32Predict the phase formation of high-entropy alloys by compositions101A Dual-Phase Multi-Functional Fenicr0.8al0.8 High Entropy Alloy with Attractive Thermal Physical Properties and Magnetic Properties0Investigation on Properties and Phase Evolution of Al0.5cocrfeni2ti Hea Powders Prepared Via Gas-Atomization Method0Investigation on Properties and Phase Evolution of Al0.5cocrfeni2ti Hea Powders Prepared Via Gas-Atomization Method0Machine learning combined with solid solution strengthening model for predicting hardness of high entropy alloys7Multimodal Data-Driven Design of Low Pressure Die Casting Gating System for Aluminum Alloy Cabin2Unveiling the compressive behavior of Fe2Ni2CrAl high entropy alloy: A combined molecular dynamics and finite element study11Interpretable hardness prediction of high-entropy alloys through ensemble learning81Criteria of predicting phase formation for MSi2-Type High-Entropy refractory metal silicides15Molecular dynamics simulation and machine learning-based analysis for predicting tensile properties of high-entropy FeNiCrCoCu alloys68Hardness prediction of high entropy alloys with periodic table representation of composition, processing, structure and physical parameters15Machine learning aided high-throughput first-principles calculations to predict the formation enthalpy of σ phase16Machine learning-based prediction of pitting corrosion resistance in stainless steels exposed to chloride environments26Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook78A multimodal data-driven design of low pressure die casting gating system for aluminum alloy cabin22A New Phase Classifier with an Optimized Feature Set in ML-Based Phase Prediction of High-Entropy Alloys5Prediction and design of high hardness high entropy alloy through machine learning79Phase prediction for high-entropy alloys using generative adversarial network and active learning based on small datasets20Microstructure and mechanical property of Al,Ti co-adding L21-strengthened NiCrFe-based HEAs34Data-driven analysis and prediction of stable phases for high-entropy alloy design50A Community Detection-based Approach in Social Networks to Improve the Equation Analysis in the Material Science0Machine learning – informed development of high entropy alloys with enhanced corrosion resistance35Fatigue life prediction of the FCC-based multi-principal element alloys via domain knowledge-based machine learning29Multi-component thin films and coatings13Sparse identification-assisted exploration of the atomic-scale deformation mechanism in multiphase CoCrFeNi high-entropy alloys7Phase prediction of high-entropy alloys based on machine learning and an improved information fusion approach27Data extension-based analysis and application selection of process-composition-properties of die casting aluminum alloy13Machine learning studies for magnetic compositionally complex alloys: A critical review33Classification enhanced machine learning model for energetic stability of binary compounds3Physics-guided neural network for fatigue life prediction of FCC-based multi-principal element alloys12RETRACTED: Exploring high entropy alloys: A review on thermodynamic design and computational modeling strategies for advanced materials applications95Recent machine learning-driven investigations into high entropy alloys: A comprehensive review37Phase prediction in laser-clad high-entropy alloy coatings through metaheuristic optimization algorithms and interpretable machine learning11Applications of machine learning in high-entropy alloys: a review of recent advances in design, discovery, and characterization41Evading the strength-ductility trade-off dilemma in high-entropy alloys by multi-objective machine learning1Machine learning-based phase prediction in high-entropy alloys: further optimization of feature engineering12Developing new high-entropy alloys with enhanced hardness using a hybrid machine learning approach: integrating interpretability and NSGA-II optimization9Phase Stability and Transitions in High-Entropy Alloys: Insights from Lattice Gas Models, Computational Simulations, and Experimental Validation28Machine-Learning-Assisted Phase Prediction in High-Entropy Alloys Using Two-Step Feature Selection Strategy10A phase prediction strategy of high entropy alloys manufactured by selective laser melting based on feature selection and machine learning12DSMR: an AI framework for exploring combinations of data and algorithm to overcome efficiency-accuracy trade-off2A dual-phase FeNiCr0.8Al0.8 high entropy alloy with attractive multi-functional thermal and magnetic properties6A new multi-objective optimization design framework for high-temperature alloy steel via machine learning4A ML-Driven Framework for Phase Prediction in High-Entropy Alloys0Investigation of short-range order and mechanical strength of AlCoCrFeNi high-entropy alloys using atomistic simulations and data analytics5Target-driven design of high strength yet corrosion resistant medium Mn steel via interpretable machine-learning8The effect of twin boundary spacing, orientation and separation of grain boundary affected zones on the mechanical properties of twinned Cu-Ag alloys1AI meets high-entropy alloys: From classification and regression to explainable models and predictive discovery1AI-enabled prediction and transformation analysis of phases in multi-component nitride thin films and coatings0RETRACTED: Physics-informed and interpretable machine learning for elastic constants of RHEAs3Machine learning designed Co-Fe-Ni-Mn-Al high entropy alloys with enhanced nano-hardness0Lattice-dependent formation enthalpy enhances machine-learning phase prediction of high-entropy alloys1Aluminium-containing high-entropy alloys: From thermodynamic design to service performance: A critical review0

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  7. Machine learning combined with solid solution strengthening model for predicting hardness of high entropy alloys

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  8. Multimodal Data-Driven Design of Low Pressure Die Casting Gating System for Aluminum Alloy Cabin

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  9. Unveiling the compressive behavior of Fe2Ni2CrAl high entropy alloy: A combined molecular dynamics and finite element study

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  11. Criteria of predicting phase formation for MSi2-Type High-Entropy refractory metal silicides

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  12. Molecular dynamics simulation and machine learning-based analysis for predicting tensile properties of high-entropy FeNiCrCoCu alloys

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  16. Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook

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  17. A multimodal data-driven design of low pressure die casting gating system for aluminum alloy cabin

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  18. A New Phase Classifier with an Optimized Feature Set in ML-Based Phase Prediction of High-Entropy Alloys

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  19. Prediction and design of high hardness high entropy alloy through machine learning

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

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  21. Microstructure and mechanical property of Al,Ti co-adding L21-strengthened NiCrFe-based HEAs

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

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