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RESEARCH PAPER · International Journal of Mechanical Sciences · 2024

A machine learning strategy for enhancing the strength and toughness in metal matrix composites

Zhiyan Zhong, Jun An, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Xiao Hong Zhou, Tongxiang Fan

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A machine learning strategy for enhancing the strength and toughness in metal matrix compositesOriginalAdaptive virtual modelling enhanced dynamic and reliability analysis of SGPLRP-MEE plates13Effective strength estimation of metal matrix composites by stress compensation method7Using Machine Learning to Predict the Wear Rate of Corundum‐Filled LM30 Aluminum Composites at High Temperatures0Enhanced Mechanical Properties and Machinability of Al-Cu-SiC-GNP Smart Hybrid Composite Using Machine Learning Optimization9Data-driven inverse design of novel spinodoid bone scaffolds with highly matched mechanical properties in three orthogonal directions51Advancements in the fabrication of metal matrix composites: a detailed review of manufacturing and characterization techniques17Machine learning-assisted interfacial modulation and configuration design of metal matrix composites: A review8Mechanical reliability of high-power modules via simulation-based machine learning3Recent progress in metal matrix hybrid composites fabricated via liquid and solid-state processing: Fabrication techniques, characteristics and future prospects30A science directed progressive neural network for multimodal prediction of elastoplastic behavior in composite materials7Multiscale structure-mechanical property relationship and data-driven design of ultra-high temperature ceramics: A review7Simultaneously improving the strength and elongation of wire and arc additive manufactured high‑nitrogen steel via pulsed current2Deep learning-based inverse design of programmable disordered metamaterials39Harnessing High-Loading CNT in Al7075 Nanocomposites by Hybrid Processing Route: Tribomechanical Performance and Machine Learning-Driven Optimization3Hybrid genetic algorithm with interpretable surrogate modeling for enhanced optimization of short-fiber reinforced polymer composites4Enhancing wear resistance and thermal stability of laser-induced zirconia-aluminum composites0Heterogeneous α precipitates regulation and charpy impact deformation behavior in metastable Ti-8.5Cr-1.5Sn alloy3Machine learning-driven material intelligence research and development14Machinability evaluation and multi‐objective optimization of Al‐Cu‐SiC‐graphene nano‐platelets hybrid composite using water jet machining and machine learning approaches0Achieving simultaneous strength-ductility enhancement of Sn Bi alloys via ultrasonic hierarchical refinement3Stress partitioning and strain localization in Al–SiC composites4Review of machine learning approaches for predicting mechanical behavior of composite materials83Res-SH: Unbiased Residual Learning for Self-Healing Interface Toughness Prediction with Limited Data0Giga‐Voxel Multiscale Composite Architecture Mirrored Through a Data‐to‐Model Closed‐Loop Digital Twin1Transfer learning-assisted multi-objective optimization of mechanical properties for particle reinforced aluminum matrix composites4Bio-inspired gradient-heterogeneous Al/Al2O3 composites: Strength–toughness synergistic design and fracture mechanisms6Identification and optimization of mechanical characteristics in graphene-reinforced aluminum matrix composites based on artificial intelligence8Image generation of short glass fibre composite microstructures: From control to optimisation and damage prediction1Physics-informed gradient boosting tree for vision-based prediction of gear flow field structures across wide temperature ranges1Mechanical Characterization and Machine Learning Prediction of Al 7079 Hybrid Composites Reinforced with Coconut Shell Ash and Graphite0Research Progress on Prediction of Mechanical Properties of Materials Based on Materials Genome Engineering0The Future of Mechanical Metastructures: There is Plenty of Room at the Top0Micromechanical modeling of metal matrix composites with network architectures4Study on the damage mechanism of titanium alloy threads during roll forming based on a machine learning-assisted multi-scale damage model4Machine learning for mechanical design of composite materials and composite structures8Advances in the Application of Machine Learning in Composite Materials5CNN-GAN based microstructure design for biphasic composites with balanced modulus and frequency1Integrated modeling and modal layered control strategy for flatness regulation in variable crown temper rolling4Synthesis, Sintering, and Characterization of Composites1Application of machine learning in the micromechanics of composites: a review6Enhanced mechanical and tribological performance of AA332 aluminium alloy reinforced with ZrB2 using integrated experimental and machine learning approaches2Multiscale structure property learning of particulate metal matrix composites via graph transformers for continuous stress–strain behaviour prediction0Effect of GNP Reinforcement on Phase Stability and Microstructure of AlCoCrFeNi HEA Composites: A Data-Driven Approach0A quantitative model for strength–fracture toughness trade-off in metallic materials2Machine learning-assisted high-throughput exploration of single-phase high-entropy alloys2Machine learning and uncertainty quantification of energy-based fatigue crack growth life prediction model for PRMMCs0Metal Matrix Composites2Structure–property relationships and optimization of AA2024/(TiO2+SiO2) hybrid nanocomposites0A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials0Parameter Interplays and Inverse Exploration in Centerless Grinding with Cup Wheel of Slender Ceramic Tubes0Generative inverse design of bioinspired disordered metamaterials for strength-toughness synergy0Metal matrix composites: Bioinspired architectures, reinforcements and interfaces, multifunctionality, and data‑driven intelligent manufacturing0Micromechanical insights into tensile deformation of epoxy-infiltrated hierarchical nanoporous copper0Recent progress in machine learning strategies in designing, synthesizing and characterizing new age metal matrix composites0Bioinspired ceramic-metal interpenetrating phase composites: From multiscale structure to biomedical function0Integrated regulation of preparation-microstructure-properties for W/Mo refractory alloys and their composites0

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