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RESEARCH PAPER · Transactions of Nonferrous Metals Society of China · 2024

Accelerated design of Al−Zn−Mg−Cu alloys via machine learning

Yongfei Juan, Guoshuai Niu, Yang Yang, Zi-han XU, Jian Jun Yang, Wenqi Tang, Haitao Jiang, Yanfeng Han, Yongbing Dai, Jiao ZHANG, Baode Sun

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Accelerated design of Al−Zn−Mg−Cu alloys via machine learningOriginalMachine learning driven design of high-performance Al alloys21Machine learning design of 400 MPa grade biodegradable Zn-Mn based alloys with appropriate corrosion rates16Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods8Preparation technology research progress of high-purity antimony8Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning5Machine learning-assisted prediction of mechanical properties in WC-based composites with multicomponent alloy binders17Prediction of thermal conductivity in multi-component magnesium alloys based on machine learning and multiscale computation15Aging hardening and precipitation behavior of high Zn/Mg ratio Al-Zn-Mg alloys with and without Cu11Effects of Fe Content and Natural Ageing on Microstructure and Mechanical Properties of Recyclable Al5.5Mg2Si Die‐Cast Alloys Assisted with Machine Learning4Effect of Ce element content on microstructure and corrosion resistance of highly-alloyed Al−Zn−Mg−Cu−Zr−Ti alloy19A process-synergistic active learning framework for high-strength Al-Si alloys design19Accelerated discovery of Al-Zn-Mg-Cu alloys with high-strength and high-plasticity by machine learning3Machine Learning Approaches for Heat Treatment in Thermal Manufacturing Processes: A Review9Effect of iron content on microstructures and mechanical properties of new ultra-high strength Al-Zn-Mg-Cu alloys9Reverse design of copper alloy composition based on ensemble learning and genetic algorithm3Effect of annealing process on microstructure and plane stress fracture toughness of 7075 cladding sheet2Machine learning with center-environment attention mechanism for multi-component Nb alloys5Effect of aging treatment on bending collapse and energy absorption of 7003 aluminum alloy bumper beams0Design of melt purification agent for recycled aluminum based on machine learning0Data augmentation-assisted machine learning for accelerated discovery of high-strength lightweight alloys with enhanced solidification cracking resistance3Optimization of Hot Rolling Process and Conductivity Prediction for Cu-Fe-P Alloy Based on GA-BP and PSO-BP Neural Networks2Effect of layered structure on the impact performance and damage mechanisms of hot-rolled aluminum laminated composites7Advances in β-titanium alloys for safer and greener biomedical implants15Predictive modeling for mechanical properties of cold-rolled strip steel based on random forest regression and whale optimization algorithm0A machine learning strategy for rapid design of preparation parameters in zero-sample complex alloy1Recent Advancements in Aluminum Alloy Research: Integrating Traditional Metallurgy with Machine Learning and Data-Driven Approaches3Effects of Fe content and natural aging on the microstructures and mechanical properties of recyclable heat treatment-free Al-7Si-0.3Mg die-cast alloys determined using machine learning1Decoupled machine learning framework for interpretable prediction of microalloying effects on the mechanical properties of Al-Zn-Mg-Cu alloys0Effect of cyclic heat treatment and acid etching on microstructure and corrosion resistance of AA70750Noise-Aware Machine Learning Accelerates Development of High-Latent-Heat Cu-Al-Ni Shape Memory Alloys for Thermal Management0Revealing interaction mechanisms of substitutional and interstitial solutes in metals through machine learning0Transformer-based integrated prediction model for copper converter blowing endpoint and composition0

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  3. Robustness of machine learning predictions for Fe-Co-Ni alloys prepared by various synthesis methods

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  4. Preparation technology research progress of high-purity antimony

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  5. Intelligent design of Fe–Cr–Ni–Al/Ti multi-principal element alloys based on machine learning

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  7. Prediction of thermal conductivity in multi-component magnesium alloys based on machine learning and multiscale computation

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  8. Aging hardening and precipitation behavior of high Zn/Mg ratio Al-Zn-Mg alloys with and without Cu

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  9. Effects of Fe Content and Natural Ageing on Microstructure and Mechanical Properties of Recyclable Al5.5Mg2Si Die‐Cast Alloys Assisted with Machine Learning

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  10. Effect of Ce element content on microstructure and corrosion resistance of highly-alloyed Al−Zn−Mg−Cu−Zr−Ti alloy

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  11. A process-synergistic active learning framework for high-strength Al-Si alloys design

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  12. Accelerated discovery of Al-Zn-Mg-Cu alloys with high-strength and high-plasticity by machine learning

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  13. Machine Learning Approaches for Heat Treatment in Thermal Manufacturing Processes: A Review

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  14. Effect of iron content on microstructures and mechanical properties of new ultra-high strength Al-Zn-Mg-Cu alloys

    Transactions of Nonferrous Metals Society of China · 2025-10-01

    Xinyuan Xu, Lei Jiang, Xinbiao Zhang, Minghong Mao, Jianxin Xie

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  15. Reverse design of copper alloy composition based on ensemble learning and genetic algorithm

    Journal of materials research/Pratt's guide to venture capital sources · 2025-10-03

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  16. Effect of annealing process on microstructure and plane stress fracture toughness of 7075 cladding sheet

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  17. Machine learning with center-environment attention mechanism for multi-component Nb alloys

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  18. Effect of aging treatment on bending collapse and energy absorption of 7003 aluminum alloy bumper beams

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  19. Design of melt purification agent for recycled aluminum based on machine learning

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  20. Data augmentation-assisted machine learning for accelerated discovery of high-strength lightweight alloys with enhanced solidification cracking resistance

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  21. Optimization of Hot Rolling Process and Conductivity Prediction for Cu-Fe-P Alloy Based on GA-BP and PSO-BP Neural Networks

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  22. Effect of layered structure on the impact performance and damage mechanisms of hot-rolled aluminum laminated composites

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  23. Advances in β-titanium alloys for safer and greener biomedical implants

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  24. Predictive modeling for mechanical properties of cold-rolled strip steel based on random forest regression and whale optimization algorithm

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  28. Decoupled machine learning framework for interpretable prediction of microalloying effects on the mechanical properties of Al-Zn-Mg-Cu alloys

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  29. Effect of cyclic heat treatment and acid etching on microstructure and corrosion resistance of AA7075

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  30. Noise-Aware Machine Learning Accelerates Development of High-Latent-Heat Cu-Al-Ni Shape Memory Alloys for Thermal Management

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  32. Transformer-based integrated prediction model for copper converter blowing endpoint and composition

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