Papers citing Machine learning to optimize nanocomposite materials for electromagnetic interference shielding
An Interpretable Machine Learning Model to Guide the Design of Organic Phosphorus-Containing Flame Retardants for Improving the Limiting Oxygen Index of Epoxy Resins
SSRN Electronic Journal · 2022
Zhongwei Chen, Boran Yang, Nannan Song, Tingting Chen, Qingwu Zhang, Changxin Li, Juncheng Jiang, Tao Chen, Yuan Yu, Lian X. Liu
Read original paper ↗ ·Epoxy Coatings Containing Modified Graphene for Electromagnetic Shielding
Polymers · 2022
Marius Gabriel Bontaș, Aurel Diacon, Ioan Călinescu, Mădălina Ioana Necolau, Adrian M. Dinescu, Gabriela Toader, Raluca Elena Ginghină, Alexandru-Mădălin Vizitiu, Valentin Velicu, Petru Palade, Marcel Istrate, Edina Rusen
Read original paper ↗ ·Machine learning accelerates the materials discovery
Materials Today Communications · 2022
Jiheng Fang, Ming Xie, Xingqun He, Jiming Zhang, Jieqiong Hu, Yongtai Chen, Youcai Yang, Qinglin Jin
Read original paper ↗ ·Machine learning-guided design of organic phosphorus-containing flame retardants to improve the limiting oxygen index of epoxy resins
Chemical Engineering Journal · 2022
Zhongwei Chen, Boran Yang, Nannan Song, Tingting Chen, Qingwu Zhang, Changxin Li, Juncheng Jiang, Tao Chen, Yuan Yu, Lian X. Liu
Read original paper ↗ ·Prediction and Evaluation of Indirect Carbon Emission from Electrical Consumption in Multiple Full-Scale Wastewater Treatment Plants via Automated Machine Learning-Based Analysis
ACS ES&T Engineering · 2022
Runze Xu, Yi Li, Yuting Luo, Fang Fang, Qian Feng, Jiashun Cao, Jingyang Luo
Read original paper ↗ ·Machine learning for the regulation strategy and mechanism of the integrated growth of carbon nanotube arrays
New Journal of Chemistry · 2023
Dianming Chu, Zongchao Ji, Xijun Zhang, Xinyue Zhao, Yan Bing He, Wenjuan Bai
Read original paper ↗ ·Machine Learning Techniques for the Design and Optimization of Polymer Composites: A Review
E3S Web of Conferences · 2023
Jaganathan Maniraj, A. Felix Sahayaraj, C. Ram Kumar, D. Ashok Kumar, I. Jenish, Indran Suyambulingam, Sanjay Mavinkere Rangappa, Suchart Siengchin
Read original paper ↗ ·The effects of nano-additives on the mechanical, impact, vibration, and buckling/post-buckling properties of composites: A review
Journal of Materials Research and Technology · 2023
L. Shan, C.Y. Tan, Xing Quan Shen, Sengottuvelu Ramesh, Mohammad Sharif Zarei, Reza Kolahchi, Mohammad Hadi Hajmohammad
Read original paper ↗ ·Two-layer structural method: An efficient strategy inspired by machine learning for nanocomposites with magnetic particles for electromagnetic interference shielding
Composites Science and Technology · 2023
Meng Shi, Peng Wang, Yang Zhang, Youlei Tu, Jie Zhang, Jiang Li, Shaoyun Guo
Read original paper ↗ ·A predictive model for the relationship between processing conditions and properties of thermoplastic vulcanizates (TPVs) via machine learning
Composites Science and Technology · 2023
Xinhu Xu, Lifeng Ma, Hui Nan Guo, Chang‐Ping Feng, YanSong Wang, Zhian Mao
Read original paper ↗ ·Accelerated feasible screening of flame-retardant polymeric composites using data-driven multi-objective optimization
Computational Materials Science · 2023
Fengqing Chen, Zhen Guo, Jinhe Wang, Runhai Ouyang, Dianpu Ma, Pei Gao, Fei Pan, Peng Ding
Read original paper ↗ ·Vibration optimization of cantilevered bistable composite shells based on machine learning
Engineering Applications of Artificial Intelligence · 2023
Chenchen Wu, Ruming Zhang, Fengzhen Tang, Mengling Fan
Read original paper ↗ ·A High-Generalizability Machine Learning Framework for Analyzing the Homogenized Properties of Short Fiber-Reinforced Polymer Composites
Polymers · 2023
Yunmei Zhao, Zhenyue Chen, Xiaobin Jian
Read original paper ↗ ·Advancements in Microwave Absorption Motivated by Interdisciplinary Research
Advanced Materials · 2023
Zehao Zhao, Yuchang Qing, Luo Kong, Hailong Xu, Xiaomeng Fan, Jijun Yun, Limin Zhang, Hongjing Wu
Read original paper ↗ ·Ensemble machine learning for predicting the homogenized elastic properties of unidirectional composites: A SHAP-based interpretability analysis
Acta Mechanica Sinica · 2023
Wenzhao Wang, Yunmei Zhao, Yan Li
Read original paper ↗ ·AI- and ML-based Models for Predicting Remaining Useful Life (RUL) of Nanocomposites and Reinforced Laminated Structures
Springer eBooks · 2024
Samarthya Goyal, Suman Mondal, Sutanuka Mohanty, Vinay Katari, Henu Sharma, Kisor Kumar Sahu
Read original paper ↗ ·A deep transfer learning approach to construct the allowable load space of notched composite laminates
Composites Science and Technology · 2024
Yushu Li, Huasong Qin, V.B.C. Tan, Liyong Jia, Yilun Liu
Read original paper ↗ ·Recent Trends in Polymeric Foams and Porous Structures for Electromagnetic Interference Shielding Applications
Polymers · 2024
Marcelo de Sousa Pais Antunes
Read original paper ↗ ·Recent progress in smart electromagnetic interference shielding materials
Journal of Material Science and Technology · 2024
Xin Hou, Xue‐Rong Feng, Ke Jiang, Yu‐Chen Zheng, Jiangtao Liu, Ming Wang
Read original paper ↗ ·Advances in materials informatics: a review
Journal of Materials Science · 2024
Dawn Sivan, K. Satheesh Kumar, Aziman Abdullah, Veena Raj, Izan Izwan Misnon, Seeram Ramakrishna, Rajan Jose
Read original paper ↗ ·Investigation on surface metallization of epoxy resin and its electromagnetic interference shielding performance
Engineering Research Express · 2024
Shikai Liu, Yingfang Zhu, Zheyu Tian, Xin Chen, Xingyu Li, Minghua Tang, Shaoan Yan
Read original paper ↗ ·Optimization of (Ba1−xCax)(Ti0.9Sn0.1)O3 ceramics in X-band using Machine Learning
Journal of Alloys and Compounds · 2024
Arpita Priyadarsini Dikshit, Dibyaranjan Das, Ritu Roumya Samal, Kajal Parashar, Kajal Parashar, Chinmaya Mishra, S.K.S. Parashar
Read original paper ↗ ·The chemistry, properties and performance of flame-retardant rubber composites: Collecting, analyzing, categorizing, machine learning modeling, and visualizing
Composites Science and Technology · 2024
Paulina Wiśniewska, Elnaz Movahedifar, Krzysztof Formela, Mohannad Zeyad Naser, Henri Vahabi, Mohammad Reza Saeb
Read original paper ↗ ·Electromagnetic interference shielding composite aerogels with asymmetric structures developed in aid of neural network
Composites Science and Technology · 2024
Chenglei He, Lingjun Zeng, Bai Xue, Xingxing Zhang, Liya Yu, Lan Xie, Qiang Zheng
Read original paper ↗ ·Improvement the classification of a nanocomposite using nanoparticules based on a meta-analysis study, Recurrent Neural Network and Recurrent Neural Network Monte-Carlo algorithms
Research Square · 2024
Rania Loukil, Wejden Gazehi, Mongi Besbes
Read original paper ↗ ·Prevention of Leakage in Machine Learning Prediction for Polymer Composite Properties
Journal of Chemical Information and Modeling · 2024
Hajime Shimakawa, Akiko Kumada, Masahiro Sato
Read original paper ↗ ·Polymer based composites for electromagnetic interference (EMI) shielding: The role of magnetic fillers in effective attenuation of microwaves, a review
Hybrid Advances · 2024
G. M. Mamatha, Pradipkumar Dixit, R. Hari Krishna, S. Girish Kumar
Read original paper ↗ ·Machine learning to predict effective conductivity of composite materials for shielding applications
Venue not supplied by source · 2024
Abelin Kameni, Den Palessonga, Mohamed Bensetti
Read original paper ↗ ·A Machine Learning Aided Yield Prediction Model for the Preparation of Cellulose Nanocrystals
ACS Applied Engineering Materials · 2024
Deepa Sreedev, Subila Kurukkal Balakrishnan, Nandakumar Kalarikkal
Read original paper ↗ ·Improving the classification of a nanocomposite using nanoparticles based on a meta-analysis study, recurrent neural network and recurrent neural network Monte-Carlo algorithms
Nanocomposites · 2024
Rania Loukil, Wejden Gazehi, Mongi Besbes
Read original paper ↗ ·Effective Electromagnetic Properties of Composite Material Computed From Neural Network Approach
International Journal of Numerical Modelling Electronic Networks Devices and Fields · 2024
Abelin Kameni, Den Palessonga, Zahraa Semmoumy, Mohamed Bensetti
Read original paper ↗ ·Multifunctional strain sensor with adjustable conductive network for wearable applications
Polymers for Advanced Technologies · 2024
Qiaoling Huang, Yuanyuan Feng, Xinming Dai, Shuang Guo, Shuning Ma, Amir A. Abdelsalam, Sensen Han
Read original paper ↗ ·Data‐Driven Materials Research and Development for Functional Coatings
Advanced Science · 2024
Kai Xu, Xuelian Xiao, Linjing Wang, Ming Lou, Fang‐Ming Wang, Changheng Li, Hui Ping Ren, Xue Wang, Keke Chang
Read original paper ↗ ·Research on high-entropy spinel microwave absorption materials: Exploration of machine learning and experimental integration
Ceramics International · 2024
Pengyu Liu, Zhenming Cui, Yan Ni Sun, Wenpei Yuan, Lin Qu, Xiaoming Wang, XiaoMing Wang, Yanlan Zhang, Yongzhen Wang
Read original paper ↗ ·Research progress of carbon-based materials in intumescent fire-retardant coatings: A review
European Polymer Journal · 2024
Wang Zhan, Zhiyuan Xu, Le Chen, Lixia Li, Qinghong Kong, Mingyi Chen, Qingwu Zhang, Juncheng Jiang
Read original paper ↗ ·Usage of Machine Learning Techniques to Classify and Predict the Performance of Force Sensing Resistors
Sensors · 2024
Angela Peña, Edwin Leonel Álvarez Gutiérrez, Diana M. Ayala Valderrama, Carlos A. Palacio, Yosmely BermÚdez, Leonel Paredes‐Madrid
Read original paper ↗ ·Boosting machine learning algorithms for predicting the macroscopic material behavior of continuous fiber reinforced composite
Journal of Reinforced Plastics and Composites · 2024
Aiman Tarıq, Ayşe Polat, Babür Deliktaş
Read original paper ↗ ·Optimizing carbon source addition to control surplus sludge yield via machine learning-based interpretable ensemble model
Environmental Research · 2024
Bowen Li, Bowen Li, Li Liu, Zikang Xu, Kexun Li
Read original paper ↗ ·Application of Machine Learning to Identify Key Features Affecting Conductivity in CNT/ PEDOT:PSS Nanocomposites
SSRN Electronic Journal · 2025
Chengcheng Peng, Guosheng Chen, Cailiu Yin, Xinjiang Zhang, Chunqiang Yi, Ziyan Shu, Yongping Lu, Xinghao Fan
Read original paper ↗ ·Enhancing Copper Interconnect Reliability Based on Machine Learning: Electromigration Lifetime Prediction Via an -Interpretable Qpso-Xgboost Hybrid Model
SSRN Electronic Journal · 2025
Kai Wei Sun, MingYang Zuo, TianBo Wu, Li Tian, Ming Wang, J. Sun
Read original paper ↗ ·Exploring the nonlinear conductive properties of polymer/graphene composites at the molecular level: a machine learning approach
RSC Advances · 2025
Hongfei Li, Yazhou Chen, Linsen Zhou, Zun Xie, Wei Cao, Zhaoming Qu
Read original paper ↗ ·Prediction of the compressive strength and carpet plot for cross-material CFRP laminate based on deep transfer learning
Materials Science and Engineering A · 2025
Zhicen Song, Yunwen Feng, Cheng Jiang Lu
Read original paper ↗ ·SCS-Net: A DNN-based electromagnetic shielding effectiveness analysis method for slotted composite structures
Chinese Journal of Aeronautics · 2025
Wanli Du, Guangzhi CHEN, Ziang ZHANG, Xinsong WANG, Shunchuan Yang, Xingye CHEN, Donglin Su
Read original paper ↗ ·Machine-learning assisted novel insulation layer stripping technology for upgrading the transparent EMI shielding materials
Nano Today · 2025
Yilin Hao, Chuyang Liu, Rapkatjan Keram, Huaxin Song, Yujing Zhang, Guangbin Ji
Read original paper ↗ ·Deep-learning approach for developing bilayered electromagnetic interference shielding composite aerogels based on multimodal data fusion neural networks
Journal of Colloid and Interface Science · 2025
Chenglei He, Liya Yu, Yun Jiang, Lan Xie, Xiaoping Mai, Peng Ai, Bai Xue
Read original paper ↗ ·Application of machine learning to identify key features affecting conductivity in CNT/ PEDOT:PSS nanocomposites
Materials Today Communications · 2025
Chengcheng Peng, Guosheng Chen, Cailiu Yin, Xinjiang Zhang, Chunqiang Yi, Ziyan Shu, Yujun Lu, Xinghao Fan
Read original paper ↗ ·Advancements in CNT research: Integrating machine learning with microscopic simulations, macroscopic techniques, and application of performance prediction and functional optimization
Materials Today Chemistry · 2025
Dianming Chu, Chenyu Gao, Zongchao Ji, Yan Li, Jin Qi, Yan Bing He, Wenjuan Bai
Read original paper ↗ ·Performance and mechanism of a graphene assembled film-based flexible sensor for strain monitoring of civil infrastructures
Sensors and Actuators A Physical · 2025
Shun Weng, Zhiyue Zhang, Ke Gao, Hongping Zhu, Bin Hu, Daping He, Fan Wang
Read original paper ↗ ·Advancing polymer nanocomposites through mechanochemical approaches
Advanced Nanocomposites · 2025
Linh Chi Tran, Xiao Su, Huynh H. Nguyen, Ly B.T. La, Philip Adu, Qiong Jia, Ivan Lee, Hsu‐Chiang Kuan, Xianhu Liu, Jun Ma
Read original paper ↗ ·Selection of oxygen carrier for chemical looping combustion of natural gas and syngas fuels – A machine learning approach
Energy Conversion and Management · 2025
Bilal Ahmed, Atta Ullah, Rehan Zubair Khalid, Muhammad Shahid, Liang Zeng, Xubin Zhang, Muhammad Zaman
Read original paper ↗ ·