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RESEARCH PAPER · Journal of Materials Research and Technology · 2024

A brief review of machine learning-assisted Mg alloy design, processing, and property predictions

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A brief review of machine learning-assisted Mg alloy design, processing, and property predictionsOriginalA machine learning strategy for enhancing the strength and toughness in metal matrix composites56Predicting the grain boundary segregation energy of solute atoms in aluminum by first-principles calculation and machine learning9Machine Learning for Predictive Modeling and Personalized Treatment in Magnesium-based Biomedical Applications0Laser powder bed fusion of biodegradable magnesium alloys: process, microstructure and properties70Recent machine learning-driven investigations into high entropy alloys: A comprehensive review37Application of artificial neural networks in predicting and optimising electroplating parameters: A systematic review0Machine Learning Prediction of Density for Binary Mg-Containing Phases0Nano-AI synergy: Emerging trends, applications, challenges, and future prospects2Prediction of mechanical properties of magnesium alloys based on machine learning0Using Artificial Neural Networks in Designing and Developing Magnesium-Based Materials for Degradable Implant Applications0Accelerated design of a novel wide thermal hysteresis NiTi-based shape memory alloy based on interpretable information machine learning12Comprehensive assessment on estimating the thermodynamic and mechanical properties of multicomponent Fe–Cr-based alloys using machine learning techniques1Enhanced durability and environmental sustainability in marine infrastructure: Innovations in anti-corrosive coating technologies62An Approach to Predicting the Oxidation of Coated Metals Through Machine Learning0Machine learning-based phase design of Mg-Re alloy LPSO phase2Review: machine learning approaches for diverse alloy systems46Research advances of magnesium and magnesium alloys globally in 202497Study on precipitation kinetics of discontinuous cellular Mg 17 Al 12 phase and corrosion behavior of Mg-13Al alloy0Laser powder bed fusion of biodegradable metallic implants: current status, challenges, and future perspectives1Machine learning with local outlier factor for predicting the electrochemical corrosion behavior of rare-earth-doped Mg alloys in chloride ions2Bridge for the thermodynamics and kinetics of electrochemical corrosion: Influence of trace fluctuations in alloying element content on the corrosion resistance of low alloy steels7MOPSO-Based Data Augmentation and Hardness-Assisted Interpretable Machine Learning for Accurate Prediction of Mechanical Properties of Mg Alloys0Enhanced mechanical and machinability of AZ91D hybrid composites via TOPSIS and machine learning models0The Use of Machine Learning in Aluminum and Magnesium Matrix Composites: A Review3Thermodynamics-constrained generative adversarial network for synergistic strength-ductility inverse design of rare-earth magnesium alloys0Machine learning applications in metallic materials: Recent advances and future perspectives8Machine learning-assisted interpretable and leakage-resistant prediction of PVA/HA hydrogel mechanical properties under small-sample conditions1Transforming the modelling of nuclear structural materials: A critical review of machine learning approaches0Computational strategies for the design of high-strength and high-thermal-conductivity casting Mg/Al alloys1Machine learning-based prediction of volumetric wear rate in hybrid ZA-27 composites0Effect of welding conditions on the grain structure, texture, and mechanical properties of friction stir-welded AZ91 magnesium alloy sheet0Scientific Machine Learning for Coating Degradation and Corrosion Prediction: A Critical Review and Thermodynamic Research Perspective0Recent progress in machine learning strategies in designing, synthesizing and characterizing new age metal matrix composites0Mechanism-informed machine learning for intelligent design of rare-earth-containing magnesium-based alloys0Interpretable machine learning-assisted inverse design of high-strength and ductile cast magnesium alloys0A new feature engineered machine learning prediction of high-temperature yield strength for MoTiWNbZr refractory high-entropy alloys0Recent advances in silver-matrix composite electrical contact materials: microstructural design, properties enhancement, and rare-earth modification0Machine learning for high-performance alloy design: A review0

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