Papers citing A review on recent applications of machine learning in mechanical properties of composites
Exploration of the Structure and Composition of Sn(S₀.₆Te₀.₄) Thin Film as a Potential Absorber in Solar Cell Technology
Journal of Chemical Learning Innovation. · 2024
Mahmudah Setianingrum, Guluzra Bozorboeva
Read original paper ↗ ·A review of machine learning applications in polymer composites: advancements, challenges, and future prospects
Journal of Materials Chemistry A · 2025
Manickaraj Karuppusamy, Ramakrishnan Thirumalaisamy, Sivasubramanian Palanisamy, Sudha Nagamalai, Ehab El Sayed Massoud, Nadir Ayrılmış
Read original paper ↗ ·Application of Various Optimisation Methods in the Multi-Optimisation for Tribological Properties of Al–B4C Composites
Computers, materials & continua/Computers, materials & continua (Print) · 2025
Sandra Gajević, Slavica Miladinović, Jelena Jovanović, Onur Güler, Serdar Özkaya, Blaža Stojаnović
Read original paper ↗ ·Quasi-Static and Dynamic Deformation Response of SWNTs, DWNTs, and MWNTs Reinforced Hybrid Aluminum Foams: An Experimental and ANN Model-Based Study
SSRN Electronic Journal · 2025
Dilip Muchhala, Pai-Chen Lin, De‐Shin Liu, Zhen-Wei Zhuang, D.P. Mondal
Read original paper ↗ ·Machine Learning Predictions for the Comparative Mechanical Analysis of Composite Laminates with Various Fibers
Processes · 2025
Baha Eddine Ben Brayek, Sirine Sayed, Viorel Mînzu, Mostapha Tarfaoui
Read original paper ↗ ·A Machine Learning-Driven Optimization of Machining Parameters for Nanoclay-Glass Fiber Polymer-Reinforced Composites for Performance Prediction and Process Enhancement
Journal of Tribology · 2025
Zihni Alp Çevik, Gencay Sarıışık
Read original paper ↗ ·Optimizing bio-hybrid composites for impact resistance using machine learning
Journal of the Brazilian Society of Mechanical Sciences and Engineering · 2025
Manzar Masud, Aamir Mubashar, Salman Sagheer Warsi, Volkan Esat, Saqib Anwar
Read original paper ↗ ·Integrating machine learning and digital twin for strength prediction of CFRP /aluminum adhesive joints under hygrothermal conditions
Polymer Composites · 2025
Noor Hadi Aysa, Sajjad Karimi
Read original paper ↗ ·Buckling modeling and numerical validation of composite panels for sandwich structures
Journal of Sandwich Structures & Materials · 2025
Yuan Zhang, Pengyu Cao, Xihao Yang, Kangmin Niu
Read original paper ↗ ·Multiscale simulations of three-dimensional nanotube networks: Enhanced modeling using unit cells
Computational Materials Science · 2025
Fabian Gumpert, Dominik Eitel, Olaf Kottas, Uta Helbig, Jan Lohbreier
Read original paper ↗ ·Transfer learning for intelligent design of lightweight Strain-Hardening Ultra-High-Performance Concrete (SH-UHPC)
Automation in Construction · 2025
Yixin Zhang, Qiao Zhang, Ling-Yu Xu, Wei Guo Hou, You-Shui Miao, Yang Liu, Botao Huang
Read original paper ↗ ·Experimental Study and ANN Development for Modeling Tensile and Surface Quality of Fiber-Reinforced Nylon Composites
Polymers · 2025
Osman Ülkir, Fatma Kuncan, Fatma Didem Alay
Read original paper ↗ ·Artificial intelligence in materials science and engineering: Current landscape, key challenges, and future trajectories
Composite Structures · 2025
Iman Peivaste, Salim Belouettar, Francesco Mercuri, Nicholas Fantuzzi, Hamidreza Dehghani, Razie Izadi, Halliru Ibrahim, Jakub Lengiewicz, Mael Belouettar-Mathis, Kouider Bendine, Ahmed Makradi, Martin Horsch, Peter Klein, M. Hachemi, Heinz A. Preisig, Yacine Rezgui, Natalia Konchakova, Ali Daouadji
Read original paper ↗ ·TiO2 Nanoparticles Obtained by Laser Sintering When Added to Methacrylate Photopolymer Resin Improve Its Physicochemical Characteristics and Impart Antibacterial Properties
Inorganics · 2025
Aleksandr V Simakin, Dmitriy E. Burmistrov, Ilya V. Baimler, Ann V. Gritsaeva, Dmitriy A. Serov, Maxim E. Astashev, Pavel Chapala, Shamil Zavdatovich Validov, Fatikh M. Yanbaev, Sergey V. Gudkov
Read original paper ↗ ·Deep learning paradigm shift in composite materials performance prediction: A review of state-of-the-art applications
Composites Communications · 2025
Yingjie Yan, Yifan Zhang, Xiaojia Wu, Qiwei Guo, Daijun Zhang, Chao Li, Yanfeng Liu, Jingyi Zhang, Liuxu An, Zhiyang Wang, Junhua Guo, Li Chen
Read original paper ↗ ·Machine Learning in Functionally Graded Materials and Nano FGMs: A Comprehensive Review of Predictive Modeling for Mechanical Behavior
Archives of Computational Methods in Engineering · 2025
Aman Garg, Weiguang Zheng, Roshan Raman, Li Li
Read original paper ↗ ·Advancements in multiscale modeling of damage in composite materials: A comprehensive review
Composites Part B Engineering · 2025
Gourab Ghosh, Dhiraj Biswas, Rudraprasad Bhattacharyya
Read original paper ↗ ·Optimization of single-slope solar still with different energy storage materials using the taguchi and machine learning methods
Results in Engineering · 2025
M. Yuvaperiyasamy, Sharmila Devi Kumaravel, K. Sabari, M. Kalaimani
Read original paper ↗ ·Reinforcement Mechanisms in Core@Shell ZnO / PP Composites: Machine Learning‐Driven Filler Optimization and Interfacial Engineering Strategies for Enhanced Mechanical Performance
Journal of Applied Polymer Science · 2025
Zhihui Bao, Dexi Wang, Honglin Li, Honglei Yu, Ying Joey Zhou, Bin Yang, Yunlong Li
Read original paper ↗ ·Domain-continual learning for expanding the design space of deep generative modelling in nonlinear analysis of masonry
Automation in Construction · 2025
Ahmad Adaileh, Bahman Ghiassi, Riccardo Briganti
Read original paper ↗ ·An Artificial Intelligence-Based Melt Flow Rate Prediction Method for Analyzing Polymer Properties
Polymers · 2025
Mohammad Anwar Parvez, Ibrahim Mustafa Mehedi
Read original paper ↗ ·Advances in cellulosic natural fibre-reinforced polymer composites: Properties, additive manufacturing and hybridisation – A review
International Journal of Biological Macromolecules · 2025
Gokul Kannan, Rittin Abraham Kurien, Rajasekaran Thangaraju, Vigneshwaran Shanmugam, Sundarakannan Rajendran, K. Vigneshwaran, R. Siva, Supakij Suttiruengwong, Sanjay Mavinkere Rangappa, Suchart Siengchin
Read original paper ↗ ·High Strength-to-Weight Ratio Mechanical Metamaterials Targeting Top Left Quadrant of Ashby Charts
JOM · 2025
Aamer Nazir
Read original paper ↗ ·Investigation and machine learning-based prediction of mechanical properties in hybrid natural fiber composites
Scientific Reports · 2025
S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati, Dipesh Kumar Mishra, Vishal Sharma, Gaurang Tank, Mohammad A. Kanan
Read original paper ↗ ·Size-estimates for distributions of microscopic damage from fracture tests on fiber-reinforced polymer-matrix composites: Insight from acoustic emission monitoring
IOP Conference Series Materials Science and Engineering · 2025
Andreas J. Brunner, Maria Gfrerrer, Gerald Pinter
Read original paper ↗ ·The Role of Artificial Intelligence in Biomaterials Science: A Review
Polymers · 2025
Andrea Martelli, Devis Bellucci, Valeria Cannillo
Read original paper ↗ ·A scientometric review using CiteSpace: Progress, challenges, and applications of natural fiber-reinforced composite and hybrid composites in engineering applications (2015–2025)
Results in Engineering · 2025
Jakiya Sultana, Md Mazedur Rahman, Saiaf Bin Rayhan, Szabolcs Szávai, Gyula Varga
Read original paper ↗ ·Review of machine learning approaches for predicting mechanical behavior of composite materials
Discover Applied Sciences · 2025
Harshit Sharma, Gaurav Arora, Manoj Kumar Singh, Vinod Ayyappan, Papiya Bhowmik, Sanjay Mavinkere Rangappa, Suchart Siengchin
Read original paper ↗ ·Sustainable biopolymer-based materials for oil spill remediation: artificial intelligence integration and technoeconomic insights - A review
International Journal of Biological Macromolecules · 2025
Ahmed M. Elgarahy, M.G. Eloffy, Priya Arunkumar, Malak Zirari, Mahmoud M. Ali, Laila A. Al-Khatib, Mashael Daghash Alqahtani, Khalid Z. Elwakeel
Read original paper ↗ ·Explanatory Ensemble Model for the Material Selection Process using GB Algorithms
Venue not supplied by source · 2025
L Natrayan
Read original paper ↗ ·Machine Learning Framework for Evaluating Microscale Interface Cohesive Zone Models of Polymer Composites
ACS Applied Materials & Interfaces · 2025
Zheng Li, Juan Du, Hui Yi, Zebei Mao, Kaifan Du, Tong Li, Peng Hao, Bo Wang
Read original paper ↗ ·AI-powered Biopolymers Engineering: Advancements in Drug Delivery and Efficacy
BENTHAM SCIENCE PUBLISHERS eBooks · 2025
Anindita De, Sonali Jayronia, Gowthamarajan Kuppusamy, Young Joon Park
Read original paper ↗ ·Machine Learning–Based Prediction and Comparison of Numerical and Theoretical Elastic Moduli in Plant Fiber–Based Unidirectional Composite Representative Volume Elements
Journal of Experimental and Theoretical Analyses · 2025
Jakiya Sultana, Md Mazedur Rahman, Gyula Varga, Szabolcs Szávai, Saiaf Bin Rayhan
Read original paper ↗ ·Using Machine Learning for Non-destructive Evaluation of Mechanical Properties of Steel Structures
Journal of Materials Engineering and Performance · 2025
A.E. Zorin, K.V. Rochev, Polina Kozhevnikova, V.E. Kuntsev, Anatoly Pavlov
Read original paper ↗ ·Rubber composite for nano-generators and use of artificial intelligence as smart electronic systems: A critical review
Synthetic Metals · 2025
Vineet Kumar, Gyu Hyeong Hwang, Sang‐Shin Park
Read original paper ↗ ·Convergence of Computational Materials Science and AI for Next-Generation Energy Storage Materials
Journal of Electronic Materials · 2025
Xuexue Pan, Yuanlin Xie, Chujun Li, Yangyang He, Yitong Zhang, Yilin Wang, Zhichun Li, Peiyu Peng, Jun Wang
Read original paper ↗ ·Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining
Advanced Science · 2025
Mengtao Wang, Yifan Xu, Zaiyang Liu, Hidemitsu Furukawa, Zhongkui Wang, Ren Xu, Lin Meng
Read original paper ↗ ·Application of Machine-Learning Methods to Optimize the Conductive Surface Quality and Permeability of Porous Structures Obtained by Selective Laser Melting
Polymer Science Series D · 2025
А. Л. Галиновский, D. A. Martysyuk, E. D. Katkova, Z. S. Terent’eva, Yu.K. Kostromin
Read original paper ↗ ·Data-driven prediction and inverse design of fabric tensile properties via machine learning
Materials Today Communications · 2025
Chen Xu, Chao Zhi, Yiqin Xu, Zhe Liu, Xingzhong Gao, Huanhuan Zhang, Yanli Sun, Zijing Dong, Lingjie Yu
Read original paper ↗ ·Applied mathematical and computational frameworks in materials science: a comprehensive review
Next research. · 2025
Gajanan M. Hingangavkar
Read original paper ↗ ·Artificial Intelligence for Dynamic Characterization of Composite Panel Structures: A Structured Review
Mechanics Research Communications · 2025
Sina Sarfarazi, Mariano Modano, Marcello Fulgione
Read original paper ↗ ·Analysis of Dynamic Mechanical Properties of Glass Fiber Fabric Composites Based on Deep Learning
Lecture notes in electrical engineering · 2026
Chunping Zhou, Yan Xiao, Leilei Zeng, Weijie Ma, Guishun Qiu
Read original paper ↗ ·Study on Anti-counterfeiting Properties Based on Green-light-emitting Lead-Free Double Perovskite Cs 2 A(I)A'(III)X 6
SSRN Electronic Journal · 2026
Ruixin Tu, Changcheng Chen, Jingwen Deng, Yunpu Wen, Meng Bao, Xinhui Zhang, Chunling Zhang, Yaxin Xu, Jiangzhou Xie, Gang Liu, Xiaoning Guan, Pengfei Lu
Read original paper ↗ ·Machine Learning-Based Constitutive Model for Mesoscale Simulation of Two-Dimensional Triaxial Braided Composites
Acta Mechanica Solida Sinica · 2026
Shiqi Wu, Ziqi Li, Yang Chen, Chao Zhang
Read original paper ↗ ·Advances in the Application of Machine Learning in Composite Materials
Applied Composite Materials · 2026
Jinrong Shi, Yantao Gao, Zan Lu, Wenfeng Hu
Read original paper ↗ ·A machine learning approach to modeling the effects of fiber shape and interphase on the thermoelastic properties of composites
Computational Materials Science · 2026
Yuanhao Sun, Jia Liu, Guangzhao Deng, Shuan Ma, Dengbao Xiao
Read original paper ↗ ·Hierarchical physics-guided neural network for sparse-data heterogeneous material identification
International Journal of Mechanical Sciences · 2026
Kunpeng Xu, Ning Zhang, Zhen‐Yu Yin, Kai-Qi Li
Read original paper ↗ ·Image recognition for post-impact residual compressive strength prediction in composite structures
Journal of Composite Materials · 2026
Shangbin Su
Read original paper ↗ ·Study on the Mechanical Performance Degradation of Epoxy and CFRP Under High‐Pressure Aging Environment and Machine Learning Prediction Models
Polymer Composites · 2026
Dayao Meng, Lianbo Wang, Qiuyu Sun, Runbo Zhang, Chengyang Wang, Yang Jin, Xiao Qiao He, Guocai Yu, Linzhi Wu
Read original paper ↗ ·Prediction of High Velocity Impact Damage Behavior of 3D Angle‐Interlock Woven Fabrics Based on Deep Learning
Polymer Composites · 2026
Wenjie Li, Zhouyang Bian, Kai Qiao, Chunjian Mao, Haibo Luo, Chao Zhang
Read original paper ↗ ·