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RESEARCH PAPER · Materials & Design · 2022

Towards high entropy alloy with enhanced strength and ductility using domain knowledge constrained active learning

Hongchao Li, Ruihao Yuan, Hang Liang, William Yi Wang, Jinshan Li, Jun Wang

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Towards high entropy alloy with enhanced strength and ductility using domain knowledge constrained active learningOriginalA Property-Oriented Design Strategy of Multi-Principal Element Alloys Via Interpretable Ensemble Learning and Particle Swarm Optimization0Machine-Learning Assisted Design of As-Cast Nicofecralti High Entropy Alloys with Tensile Yield Strength Over 1.35 GPA0Novel Mo-modified medium entropy alloys achieving enhanced corrosion resistance in acidic solution57A framework to predict binary liquidus by combining machine learning and CALPHAD assessments21High-strength medium-entropy alloy designed by precipitation-strengthening mechanism via machine learning26Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook78Prediction and design of high hardness high entropy alloy through machine learning79Machine-learning assisted design of as-cast NiCoFeCrAlTi multi-principal element alloys with tensile yield strength over 1.35 GPa14Machine Learning Design for High-Entropy Alloys: Models and Algorithms53Effect of Ti content on achieving development of mechanical properties and wear resistance of CoCrFeNiMoTix high entropy alloy31MLMD: a programming-free AI platform to predict and design materials63Design of high performance Cu-Ni-Si alloys via a multiobjective strategy based on machine learning12Accelerating high-entropy alloy discovery: efficient exploration via active learning36Multi-objective optimization of multi-principal element alloys via high-throughput simulation and active learning10Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge31Mapping high entropy state spaces for novel material discovery5Unsupervised learning-aided extrapolation for accelerated design of superalloys21Machine learning-assisted design of high-entropy alloys with superior mechanical properties51Multi-objective design of Ni-B-Al master alloy by adaptive machine learning-driven aluminothermic reduction experiment3Effect of Composition Change of Ammonium Sulfide Mother Liquor on Corrosion Resistance of CoCrNi Medium-Entropy Alloy2A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms0Machine Learning Guided Design and Ablation Behavior of Zrc-Tac-Sic Ternary Coatings2Machine Learning Guided Design and Ablation Behavior of Zrc-Tac-Sic Ternary Coatings0AI-Driven Inverse Design of Materials: Past, Present, and Future78Developing new high-entropy alloys with enhanced hardness using a hybrid machine learning approach: integrating interpretability and NSGA-II optimization9Machine Learning-Based Computational Design Methods for High-Entropy Alloys49Designing laser powder bed fusion low-alloyed titanium with superior strength-ductility trade-off via machine learning15Co-optimization of yield strength and compressive plasticity of high-entropy alloys by combining phase classification and particle swarm algorithm12Deep learning accelerated the discovery of multi‐principal element alloys with various strength‐toughness trade‐offs15Domain knowledge and interpretable machine learning for designing high performance high‐entropy alloys/graphene composite14Design of high-hardness complex concentrated alloys from physics, machine learning, and experiments2A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms1Review: Recent progress in titanium alloys development via machine learning and high-throughput preparation4Empowering scientific discovery with explainable small domain-specific and large language models3Machine learning-based prediction of high-entropy alloys for hydrogen storage with optimized thermodynamic and kinetic parameters17Effect of Mechanical Alloying on Structure and Hardness of FeCoNiCu Medium-Entropy Alloy0Research progress on the mechanical properties of eutectic high-entropy alloys21AI meets high-entropy alloys: From classification and regression to explainable models and predictive discovery1Machine learning-enabled multi-objective optimization design of process parameters for a medium-entropy alloy0Design of High-Entropy Alloys Using Conditional Generative Models and Multi-objective Bayesian Optimization0Multicomponent alloys: Coherent vs noncoherent precipitate strengthening24A multidimensional continuous conditional generative adversarial network to link composition-process-microstructure-properties in Mg alloys5Descriptors for phase prediction in high-entropy alloys: a review of geometric, thermodynamic, and electronic approaches3Active learning with heteroscedastic Gaussian Process Regression model1Enhancing strength-ductility synergy in BCC refractory high-entropy alloys via machine learning and bimodal heterostructure design0Effect of Mo-induced σ-phase evolution on the wear and corrosion resistance of laser-cladded FeCrCoNiMox high-entropy alloy coatings0Breaking Extrapolation Barriers: Dual Innovations for Property and Component Design of Multi‐Component Alloy0

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  2. Machine-Learning Assisted Design of As-Cast Nicofecralti High Entropy Alloys with Tensile Yield Strength Over 1.35 GPA

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  3. Novel Mo-modified medium entropy alloys achieving enhanced corrosion resistance in acidic solution

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  4. A framework to predict binary liquidus by combining machine learning and CALPHAD assessments

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  5. High-strength medium-entropy alloy designed by precipitation-strengthening mechanism via machine learning

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

    Materials & Design · 2023-11-01

    Wei Ren, Yifan Zhang, Wei-Li Wang, Shujian Ding, Nan Li

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  8. Machine-learning assisted design of as-cast NiCoFeCrAlTi multi-principal element alloys with tensile yield strength over 1.35 GPa

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  10. Effect of Ti content on achieving development of mechanical properties and wear resistance of CoCrFeNiMoTix high entropy alloy

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  15. Recent progress on machine learning with limited materials data: Using tools from data science and domain knowledge

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  16. Mapping high entropy state spaces for novel material discovery

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  18. Machine learning-assisted design of high-entropy alloys with superior mechanical properties

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  19. Multi-objective design of Ni-B-Al master alloy by adaptive machine learning-driven aluminothermic reduction experiment

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  20. Effect of Composition Change of Ammonium Sulfide Mother Liquor on Corrosion Resistance of CoCrNi Medium-Entropy Alloy

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  21. A Synergistic Framework for Hardness Prediction and Design of High-Entropy Alloys Based on Deep Learning and Intelligent Optimization Algorithms

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  22. Machine Learning Guided Design and Ablation Behavior of Zrc-Tac-Sic Ternary Coatings

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