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RESEARCH PAPER · Polymer Composites · 2024

A review on recent applications of machine learning in mechanical properties of composites

Yi Liang, Xinyue Wei, Yongyue Peng, Xiaohan Wang, Xiaoting Niu

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A review on recent applications of machine learning in mechanical properties of compositesOriginalExploration of the Structure and Composition of Sn(S₀.₆Te₀.₄) Thin Film as a Potential Absorber in Solar Cell Technology0A review of machine learning applications in polymer composites: advancements, challenges, and future prospects135Application of Various Optimisation Methods in the Multi-Optimisation for Tribological Properties of Al–B4C Composites5Quasi-Static and Dynamic Deformation Response of SWNTs, DWNTs, and MWNTs Reinforced Hybrid Aluminum Foams: An Experimental and ANN Model-Based Study0Machine Learning Predictions for the Comparative Mechanical Analysis of Composite Laminates with Various Fibers13A Machine Learning-Driven Optimization of Machining Parameters for Nanoclay-Glass Fiber Polymer-Reinforced Composites for Performance Prediction and Process Enhancement17Optimizing bio-hybrid composites for impact resistance using machine learning11Integrating machine learning and digital twin for strength prediction of CFRP /aluminum adhesive joints under hygrothermal conditions10Buckling modeling and numerical validation of composite panels for sandwich structures8Multiscale simulations of three-dimensional nanotube networks: Enhanced modeling using unit cells3Transfer learning for intelligent design of lightweight Strain-Hardening Ultra-High-Performance Concrete (SH-UHPC)85Experimental Study and ANN Development for Modeling Tensile and Surface Quality of Fiber-Reinforced Nylon Composites33Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories33TiO2 Nanoparticles Obtained by Laser Sintering When Added to Methacrylate Photopolymer Resin Improve Its Physicochemical Characteristics and Impart Antibacterial Properties4Deep learning paradigm shift in composite materials performance prediction: A review of state-of-the-art applications23Machine Learning in Functionally Graded Materials and Nano FGMs: A Comprehensive Review of Predictive Modeling for Mechanical Behavior22Advancements in multiscale modeling of damage in composite materials: A comprehensive review56Optimization of single-slope solar still with different energy storage materials using the taguchi and machine learning methods20Reinforcement Mechanisms in Core@Shell ZnO / PP Composites: Machine Learning‐Driven Filler Optimization and Interfacial Engineering Strategies for Enhanced Mechanical Performance3Domain-continual learning for expanding the design space of deep generative modelling in nonlinear analysis of masonry2An Artificial Intelligence-Based Melt Flow Rate Prediction Method for Analyzing Polymer Properties3Advances in cellulosic natural fibre-reinforced polymer composites: Properties, additive manufacturing and hybridisation – A review14High Strength-to-Weight Ratio Mechanical Metamaterials Targeting Top Left Quadrant of Ashby Charts1Investigation and machine learning-based prediction of mechanical properties in hybrid natural fiber composites46Size-estimates for distributions of microscopic damage from fracture tests on fiber-reinforced polymer-matrix composites: Insight from acoustic emission monitoring0The Role of Artificial Intelligence in Biomaterials Science: A Review21A scientometric review using CiteSpace: Progress, challenges, and applications of natural fiber-reinforced composite and hybrid composites in engineering applications (2015–2025)5Review of machine learning approaches for predicting mechanical behavior of composite materials83Sustainable biopolymer-based materials for oil spill remediation: artificial intelligence integration and technoeconomic insights - A review8Explanatory Ensemble Model for the Material Selection Process using GB Algorithms0Machine Learning Framework for Evaluating Microscale Interface Cohesive Zone Models of Polymer Composites4AI-powered Biopolymers Engineering: Advancements in Drug Delivery and Efficacy1Machine Learning–Based Prediction and Comparison of Numerical and Theoretical Elastic Moduli in Plant Fiber–Based Unidirectional Composite Representative Volume Elements1Using Machine Learning for Non-destructive Evaluation of Mechanical Properties of Steel Structures0Rubber composite for nano-generators and use of artificial intelligence as smart electronic systems: A critical review4Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials6Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining0Application of Machine-Learning Methods to Optimize the Conductive Surface Quality and Permeability of Porous Structures Obtained by Selective Laser Melting0Data-driven prediction and inverse design of fabric tensile properties via machine learning2Applied mathematical and computational frameworks in materials science: a comprehensive review1Artificial Intelligence for Dynamic Characterization of Composite Panel Structures: A Structured Review9Analysis of Dynamic Mechanical Properties of Glass Fiber Fabric Composites Based on Deep Learning0Study on Anti-counterfeiting Properties Based on Green-light-emitting Lead-Free Double Perovskite Cs 2 A(I)A'(III)X 60Machine Learning-Based Constitutive Model for Mesoscale Simulation of Two-Dimensional Triaxial Braided Composites1Advances in the Application of Machine Learning in Composite Materials5A machine learning approach to modeling the effects of fiber shape and interphase on the thermoelastic properties of composites4Hierarchical physics-guided neural network for sparse-data heterogeneous material identification10Image recognition for post-impact residual compressive strength prediction in composite structures0Study on the Mechanical Performance Degradation of Epoxy and CFRP Under High‐Pressure Aging Environment and Machine Learning Prediction Models0Prediction of High Velocity Impact Damage Behavior of 3D Angle‐Interlock Woven Fabrics Based on Deep Learning0Next‐Generation Composite Materials and Manufacturing: A Review of Smart, Sustainable, and Digital Advancements23A novel monitoring index for mechanical properties prediction in composite manufacturing based on electromechanical behavior and statistical approach0Effects of Pore Distribution and Defect Parameters on Structural Vibration Characteristics of Foam Core Composites: Experimental and Finite Element Analysis0Shape Memorable and Self‐Healable Smart Hydrogels and Emerging Directions6Elastic Modulus as a Regime-Aware Computational Descriptor for Knowledge Extraction in Polymer/Clay Nanocomposites0Machine Learning in Next-Generation Polymer Composites: Recent Advances and Perspectives17Sustainable optimization of mechanical properties in fiber-reinforced polymer composites using RSM and ANN: A systematic review10Accelerating Puck criterion based modelling for composites: A deep learning enhancement with explicit solver1The Use of Machine Learning in Aluminum and Magnesium Matrix Composites: A Review3Motorised jacquard technology for interlock weaving damages reduction: Effect of shed geometry and yarn density0Strength prediction and microstructure quantification of Ti-6Al-4V alloy by selective laser melting based on machine learning5A Multimodal Machine Learning Approach for Identification of Mechanical Properties in CFRP Composites1Prediction of Stress-Strain Behavior of Short Fiber-Reinforced Composite Materials Based on Group-Optimized Gaussian Process Regression1Reflection of plane waves in the modeling of chemical potential diffusion within porous elastic media in context of Klein-Gordon time nonlocality assisted with machine learning prediction5AI-Assisted optimization of coconut-pith–reinforced fly-ash geopolymer composites: Integrating experimental design, machine learning, and Bayesian optimization for sustainable binder development1Knowledge of Cardiopulmonary Resuscitation among Student Nurses in Aliko Dangote College of Nursing Science Bauchi0Application of machine learning and genetic algorithm framework for optimization of shape memory alloy embedded smart composites0Thermo-Sensitive Polymeric Networks for Next-Generation Wound Management: A Review4Sustainable hybrid rubber nanocomposites: a review of green solvents processing and machine learning-driven optimization2Tensile Properties Prediction of WFRP Composite Based on Machine Learning and ANN Models: An Experimental and Statistical Approach0Machine learning assisted prediction of the compressive response of porous metallic bio-metamaterials2Multiscale synergistic regulation of electro-thermal-mechanical properties in polypropylene composites: A machine learning-molecular dynamics approach1Predicting the mechanical performance of Type IV composite pressure vessels using machine learning0Architecture-enabled radiation shielding in aerospace systems revealed by machine learning0Waste plastics-integrated agro-waste formulations for durable exterior and interior interlock and roofing sheets in sustainable construction1Integrating machine learning with experimental data to predict tensile strength of cement pastes with binary cementitious systems0Robust flexible sensors, wearable technologies, and artificial intelligence: Elastomeric composite prospects1Multi‐Parameter Optimization, Machine Learning‐Based Prediction, and Surface Characterization of Bio‐Based FDM Composites2A Review of Recent Trends in Machine Learning Applications for Manufacturing Fiber-Reinforced Polymer Composites0Machine-learning-enabled prediction of Izod impact strength in hybrid fibre Onyx composites0Advanced machine learning assisted prediction of multi-fiber hybrid natural fiber/epoxy composites based on jute, coconut coir, banana, and pineapple leaf fibers3Correction of the interior ballistic model for the two-stage light gas gun based on machine learning0Interfacial pull-out and failure prediction in MWCNT-functionalized aramid fabric material using machine learning0Sustainable Fiber–Reinforced Polymer Nanocomposites: Processing–Structure–Property–Performance Relationships and Machine Learning–Driven Design1Machine Learning Driven Material Property Prediction Framework for Intelligent Self Healing Polymer Composites Design0Mechanics-Informed Machine Learning for FRP Composites: A Comprehensive Review and Outlook0Prediction of Homogeneous Thermal and Mechanical Properties for PCB Conductive Layers Using an Attention-Based Deep Neural Network0Data-centric deep learning for defect detection in fiber composite materials: A review of algorithms, challenges, and emerging trends0Geometry-Aware OOD Generalization for Composite Materials0Experiment-driven machine learning framework for compressive strength prediction of locally sourced fiber-reinforced concrete0Advanced short-fiber eco-sustainable reinforced composites with metal and ceramic matrices: Current trends, challenges, and future directions0Eco‐Designed Transparent Bacterial Cellulose Composites for Next‐Generation Opto‐Electronics0Electrochemical sensor-integrated omics-driven data framework for performance optimization of polymer-based alkali-activated concrete0A decoupled finite element-regularized neural framework for accelerated heterogeneous material identification0AI-driven property prediction and design optimisation of composite materials: A review0Efficient thermal and mechanical property prediction of highly filled bimodal particle-reinforced polymer composites using a modified embedded-element method and machine learning0Sugeno-type neuro-fuzzy prediction of secant modulus in carbon nanotube reinforced polymer composites using experimental dataset0From printing to intelligence: Smart polymer composite actuators for next-generation soft robotics0Architecture-Specific Performance of Silica and MWCNT Modified Hybrid Epoxy Laminates Under Mechanical Loading and Fracture0

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  18. Optimization of single-slope solar still with different energy storage materials using the taguchi and machine learning methods

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