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RESEARCH PAPER · Journal of Magnesium and Alloys · 2024

Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimization

Xiaoxi Mi, Lili Dai, Xuerui Jing, Jia She, Bjørn Holmedal, Aitao Tang, Fusheng Pan

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Accelerated design of high-performance Mg-Mn-based magnesium alloys based on novel bayesian optimizationOriginalData mining accelerated the design strategy of high‐entropy alloys with the largest hardness based on genetic algorithm optimization22Multi‐objective optimization of three mechanical properties of Mg alloys through machine learning33Uncovering the synergistic role of trace Ca/Zn in weakening texture and elevating strength-ductility balance in dilute Mg-0.5Mn alloys14Machine Learning-Based Process Optimization in Biopolymer Manufacturing: A Review62Insight into the heterogeneous nucleation mechanism of Ti 3 AlC 2 /Mg interface doped with alloying elements by using first principle calculation5Leveraging feature gradient for efficient acquisition function maximization in material composition design3Machine Learning-Based Methods for Materials Inverse Design: A Review34Machining-Induced Surface Protection for Enhanced Corrosion Resistance of Magnesium Manganese Alloy in 3.5% NaCl and Artificial Human Sweat Medium0Machine Learning Assisted Design of High Thermal Conductivity and High Strength Mg Alloys8Machine Learning-Assisted Efficient Design of Mg–Gd–Y Based System Alloys6Bayesian optimization and explainable machine learning for High-dimensional multi-objective optimization of biodegradable magnesium alloys42Novel machine learning driven design strategy for high strength Zn Alloys optimization with multiple constraints21ENHANCING SOCIAL MEDIA AD CAMPAIGNS THROUGH ENSEMBLE-BASED OPTIMIZATION0Interpretable machine learning enables high performance of magnesium borohydride hydrogen storage system11Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimization approaches41Preparation and corrosion resistance of epoxy resin/zinc oxide coating on magnesium alloy surface0The influence of zinc content on degradation control and mechanical behavior of Mg-Zn-Mn alloys for bone implants1Tribological performance optimization of AZ91/TiB 2 magnesium matrix composites using stacked ensemble learning and Bayesian methods3Research advances of magnesium and magnesium alloys globally in 202497Enhancing Reverse Design Ability of Functional Materials Based on Data Quality Management: Taking Biomedical Zinc Alloy as an Example0Interpretable machine learning design for concurrent and significant enhancement of the mechanical properties and corrosion resistance of low-density Mg-Li alloys21Target-driven design of high strength yet corrosion resistant medium Mn steel via interpretable machine-learning8Harnessing the power of α-Mg: Unveiling the matrix phase’s role in Mg alloys from structure to function5New Advances of Degradable Magnesium‐Based Metal Biomaterials in the Field of Orthopedics4Tribological properties of non-equiatomic FeCoCrNiMn high entropy alloys: Molecular dynamics simulations and machine learning predictions38Toward intelligent acquisition policies: Reinforcement learning for causal multi-objective Bayesian optimization0Exploring plastic deformation behavior and underlying mechanisms of magnesium alloy: Progress in single length-scale approaches and frontiers in cross-scale linkages5Prediction of mechanical properties of magnesium alloys through machine learning: a review0Interpretable machine learning predictive model for mechanical properties of AZ31 magnesium alloy rolled sheets1A multidimensional continuous conditional generative adversarial network to link composition-process-microstructure-properties in Mg alloys5Machine learning-driven synergistic optimization of mechanical properties and porosity in shell–core composite structures3Grain boundary segregation induced non-basal slip activation with ultrahigh ductility in Mg–Mn–Sm alloys14LightAlloy-Bench: Benchmarking reasoning abilities of large language models in light alloys1Machine learning-guided design of aluminum–silicon alloys with balanced strength and ductility0Intelligent generative design of TPMS scaffolds via BPNN-PSO bidirectional mapping for mechanical and hydrodynamic properties1Integrating multimodal dot product fusion with conditional generative adversarial network to build a C-P-S-P chain in Mg alloys0Mechanism-informed machine learning for intelligent design of rare-earth-containing magnesium-based alloys0Synergistic process optimization for strength and ductility in an Mg-Gd-Y-Zn-Zr alloy using an interpretable ensemble learning framework with data augmentation0Machine learning for high-performance alloy design: A review0

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