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RESEARCH PAPER · Polymer Testing · 2023

Optimizing interlaminar toughening of carbon-based filler/polymer nanocomposites by machine learning

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10 direct citing papers in this saved network. Explore the next layer with second-order citations.

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Optimizing interlaminar toughening of carbon-based filler/polymer nanocomposites by machine learningOriginalImproving the interlaminar shear performance of hybrid nano‐filled 3D woven composites using response surface methodology8Prediction and Validation of Mechanical Properties of Areca catechu/Tamarindus indica Fruit Fiber with Nano Coconut Shell Powder Reinforced Hybrid Composites1Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization6A review of artificial intelligence (AI)-based applications to nanocomposites17Opportunities of PEEK-Based Composites for Next-Generation EMI Shielding Applications2Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability26Research Progress on Prediction of Mechanical Properties of Materials Based on Materials Genome Engineering0Machine learning-based Mode II fracture energy prediction of interleaved CFRP composites7Experimental Characterization and Hybrid LSTM‐RF Modeling of Time‐Dependent Interlayer Behavior in Mass Concrete Under Extreme Multi‐Physical Environments0Deep learning framework for predictive modeling and optimization of mechanical properties in multiscale hybrid polymer nanocomposites0

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  1. Improving the interlaminar shear performance of hybrid nano‐filled 3D woven composites using response surface methodology

    Polymer Composites · 2024-12-26

    M.Z. Hussain, S.Z.H. Shah, P.S.M. Megat-Yusoff, Faiz Ahmad, S.M. Hussnain

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  2. Prediction and Validation of Mechanical Properties of Areca catechu/Tamarindus indica Fruit Fiber with Nano Coconut Shell Powder Reinforced Hybrid Composites

    JOURNAL OF POLYMER MATERIALS · 2025-01-01

    J. Angel Ida Chellam, Bright Brailson Mansingh, Daniel Stalin Alex, Joseph Selvi Binoj

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  3. Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization

    Materials Today Chemistry · 2025-03-04

    Dianming Chu, Chenyu Gao, Zongchao Ji, Yan Li, Jin Qi, Yan Bing He, Wenjuan Bai

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  4. A review of artificial intelligence (AI)-based applications to nanocomposites

    Composites Part A Applied Science and Manufacturing · 2025-05-17

    Krishna Prasath Logakannan, Ibrahim Güven, Gregory M. Odegard, Kan Wang, Chuck Zhang, Zhiyong Liang, Ashley D. Spear

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  5. Opportunities of PEEK-Based Composites for Next-Generation EMI Shielding Applications

    Polymer-Plastics Technology and Materials · 2025-06-23

    Siddheshvar Vilas Solunke, Kshitija Vaidya, Balasubramanian Kandasubramanian

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  6. Data-Driven Prediction of Polymer Nanocomposite Tensile Strength Through Gaussian Process Regression and Monte Carlo Simulation with Enhanced Model Reliability

    Journal of Composites Science · 2025-07-14

    Pavan Hiremath, Subraya Krishna Bhat, Jayashree P. K., P. Krishnananda Rao, Krishnamurthy D. Ambiger, Murthy BRN, S. V. Udaya Kumar Shetty, Nithesh Naik

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  7. Research Progress on Prediction of Mechanical Properties of Materials Based on Materials Genome Engineering

    Springer Proceedings in Materials · 2026-01-01

    Lijuan Zhu, Mingsong Wu, Chun Feng, Hongyu Wang, Anqing Fu, Chunyong Huo

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  8. Machine learning-based Mode II fracture energy prediction of interleaved CFRP composites

    Composites Part A Applied Science and Manufacturing · 2026-03-20

    Xiaoxuan Bi, gongdong wang, Jirong Zhuang, Rui Zhang, Daqian Liu, Zhe Wang, Long He

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  9. Experimental Characterization and Hybrid LSTM‐RF Modeling of Time‐Dependent Interlayer Behavior in Mass Concrete Under Extreme Multi‐Physical Environments

    International Journal for Numerical and Analytical Methods in Geomechanics · 2026-03-27

    Qingyang Ren, Hang Song, B. L. Chen, Songqiang Xiao, Yanping Jia, Senlin Gao

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  10. Deep learning framework for predictive modeling and optimization of mechanical properties in multiscale hybrid polymer nanocomposites

    Journal of Composite Materials · 2026-09-17

    S. SATHISH, Angeline M. Flashy

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