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Papers citing Machine Learning-Assisted Design of Advanced Polymeric Materials

  1. Customized Design of Twist‐Stacking Films Towards Polarization Multiplexing and Full Polarization Detection

    Advanced Functional Materials · 2026

    Liyu Gan, Aoran Cai, Yifan Xie, Xu Liu, Shuo Feng, Chutian Zhang, Hongli Zhang, Xinjian Li, Jun Jiang, Gang Zou

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  2. Accelerating design of synthesizable thermally conductive polymers using atomic interaction-embedded deep learning

    International Journal of Heat and Mass Transfer · 2026

    Xiang Huang, Xizhao Xie, Congcong Luo, Bing Yao, Yongqiang Chen, Weigang Ma

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  3. Molecular Insights into the Atmospheric Water Harvesting Hydrogels: A Review

    Journal of macromolecular science. Part C, Reviews in macromolecular chemistry and physics/Journal of macromolecular science. Reviews in macromolecular chemistry and physics · 2026

    Mingrui Jiang, Yongyun Jin, Bing Dong, Zhao Qin

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  4. Digital twin-assisted next-generation ceramic membranes for sustainable heavy metal remediation

    Chemical Engineering and Processing - Process Intensification · 2026

    Najib Meftah Almukhtar Omar, Ahmed Omar Aswaye Amhamed, Nawrs Sultan Esa Zhmoul, Laylay Mustafa Alhallak, Nuha Almuktar M. Krir, Muhend Milad

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  5. Machine learning-assisted property prediction and virtual screening of polyimides for flexible electronic applications

    Chemical Engineering Journal · 2026

    Xu Li, Haoyu Yang, Junjie Qiao, Mengli Wei, Qingji Wang

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  6. Unlocking anode-free battery performance: AI-enhanced electron microscopy for deciphering layered cathode interfaces

    Energy storage materials · 2026

    Xianqi Wu, Jiaming Ren, Xingyu Zhang, Febri Baskoro, Yicheng Tang, Junlei Xiang, Nayoung Jeon, Juyeong Kim, Ningyan Cheng, Binghui Ge, Afriyanti Sumboja, Woo Haw Jiunn, Jianhai Pan, Zhefei Sun, Jianwei Gu, Insung Han, Junfu Duan, Wenfei Yin, Yu Yao, Shoucong Ning, Qiaobao Zhang, Xiaohui Song

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  7. Artificial intelligence integration into intelligent food packaging: Toward real-time monitoring, sustainable circularity, and precision nutrition

    Food Control · 2026

    Shuqi Lu, Yumiao Wang, Hongyu He, Can Zhou, Bing Liu, Liangliang Jiang, Abulimiti Yili

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  8. Machine Learning-Driven Prediction and Interpretation of Glass Transition Temperature in Polyurethanes

    ACS Applied Polymer Materials · 2026

    Yuejie Qin, Zhihao Ma, Xue Li, Jianxiang Shen, Jun Liu

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  9. Thermo-Sensitive Polymeric Networks for Next-Generation Wound Management: A Review

    AAPS PharmSciTech · 2026

    Akshay Kumar, Prachee Nirmale, Suresh Babu Kondaveeti, Arpan Kumar Tripathi, Jailani Shiekmydeen, Sagar Nanaso Salunkhe, Thakur Gurjeet Singh, Mohit Kumar

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  10. Processing-integrated Machine Learning Models for Predicting and Optimizing Mechanical Properties of Polyimides

    Chinese Journal of Polymer Science · 2026

    Wei-Long Hu, Hao-Ke Qiu, En-Zhe Jing, Wan-Chen Zhao, Hai-Yang Huo, Sun Zhao-yan

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  11. Sustainable hybrid rubber nanocomposites: a review of green solvents processing and machine learning-driven optimization

    Advanced Composites and Hybrid Materials · 2026

    Munir A. Hussain, Easir Al Afroz, Amjad Raza, Nouraiz Mushtaq, Hafiz Tanveer Ashraf, Florian J. Stadler, Jianliang Xiao, Yu Bin, Yihu Song, Sohail Yasin

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  12. Poly(ether ether ketone) Copolymers as Advanced Materials for Energy and Electronics

    ACS Applied Engineering Materials · 2026

    Abdul Faizal, Balasubramanian Kandasubramanian, Kshitija Sanjay Vaidya

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  13. Recent Advances in Artificial Intelligence in Organic Electronic Research

    Advanced Materials · 2026

    Qian Zhang, Zhiyao Su, Hengyue Zhang, Y W Sun, Wenping Hu

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  14. Opportunities and challenges for polymeric insulation materials in electric vehicles powertrains

    eTransportation · 2026

    Dayuan Qiang, J.D. Wale, Xiwen Wu, Luming Zhou, Xinyu Wang, Colin Rimmer, Richard McMahon

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  15. A unified kinetic Monte Carlo and Bayesian optimization framework for the circular design of poly(methyl methacrylate): From synthesis to recycling

    Chemical Engineering Journal · 2026

    Yue Fang, Yang Jin, Hanyu Gao

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  16. Unveiling Tribological Mechanisms of MoS2 Coatings on FeNiCr Alloys via Molecular Dynamics and Machine Learning

    Chinese Journal of Mechanical Engineering · 2026

    Kun Guo, Hang Li, Xibo Shao, Junqin Shi, Liangzhu Zhang, Xian-Zong Wang, Jianxi Liu, Cheng‐Feng Du, Jie Wang, Shaowei Feng, Long Wang

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  17. Machine Learning-Guided Prediction of the Removal Efficiency of Pharmaceuticals and Personal Care Products by Photocatalytic Membranes

    ACS ES&T Water · 2026

    Xunhao Wang, Yanli Li, Peng Chen, Yike Shen, Volodymyr V. Tarabara, Feng Gao

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  18. PolyT-GNN: A Graph Neural Network Framework for Data-Driven Discovery of High-Temperature Two-Way Shape Memory Polymers

    ACS Applied Materials & Interfaces · 2026

    Amir Teimouri, Xiaowei Mu, Guoqiang Li

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  19. Automated and High-Throughput Phase Separation Control for Supramolecular Polymer Blends Enabled by Machine Learning

    JACS Au · 2026

    Yunfei Wang, Daniel C. Struble, Saroj Upreti, Zongliang Xie, Ka Hung Chan, Yi Liu, Chenhui Zhu, Paul D. Ashby, Wenjie Xia, Derek L. Patton, Boran Ma, Xiaodan Gu

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  20. 3D Printing of Porphyrin‐Based Materials: Processes and Applications

    Chemistry - An Asian Journal · 2026

    Gauri Harne, Aman Khade, Vikram Kumar Kushwaha, Tamal Chatterjee

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  21. A two-stage lstm-based prediction methodology for lamb wave resonators

    Journal of Micromechanics and Microengineering · 2026

    Boya Liu, Xianzheng Lu, Hao Ren

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  22. Inverse process-window identification of key parameters for burst-pressure consistency in type IV cylinders

    Composites Part A Applied Science and Manufacturing · 2026

    Jiaqi Wang, Aixu Wang, Yuze Han, Chenxu Zhao, Mingfa Ren

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  23. P‐111: Q‐Index Based AI Modeling for Material Design of Screen‐Printed Resin for Display Applications

    SID Symposium Digest of Technical Papers · 2026

    Sung Hwan Hong, Dae Yong Kim, Jang Woo Kim, Hyung Uk Cho

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  24. Uni-Macro: A Flexible 3D Transformer for Multicomponent Molecular Systems with Insights into Polymer Deep Learning Paradigms

    Macromolecules · 2026

    Jintao Wu, Rui Zhang

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  25. Advanced representations and generative artificial intelligence for polyolefins

    Clean Energy · 2026

    Jiayi Song, Shan Ye, Rongjuan Cong, Shoupeng Qiao, Linge Ma, Shuai Shao

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  26. Data-Driven Exploration of the Polyethylene Catalyst Chemical Space via Machine Learning

    The Journal of Physical Chemistry Letters · 2026

    Xuefeng Li, Haoke Qiu, Hanwen Pei, Wanchen Zhao, Haiyang Huo, Zhao‐Yan Sun

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  27. Machine Learning in Materials Science: Data-Driven Discovery and Functional Applications

    Encyclopedia · 2026

    Mihail Kolev

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  28. Structure–property relationships in tailored polyurea coatings: A review

    Materials Chemistry and Physics · 2026

    I. (Inam) Ullah, Rizwan Abutaleeb Farade, Masood Jan, Nehad Ali Shah

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  29. Sequence-defined polymers for predictable gene delivery

    Nature Reviews Chemistry · 2026

    Cameron W. Evans, Cooper M. Kyrwood, Lennart J. Schaefer, James L. Wood, Kai Chen, Craig A. Bell, Kristofer J. Thurecht, Xiaojuan Qi, Haibo Jiang, Cameron Alexander, Sébastien Perrier, Vincent M. Rotello, K. Swaminathan Iyer

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  30. Agricultural-based biopolymer packaging films and AI-integrated smart double-layer systems: Trends and innovations in food science and technology

    Food Research International · 2026

    Kajal Mishra, Suresh Sundaramurthy, Shishir Sinha

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  31. Data-driven machine learning model for predicting multi-functional properties of CNT-polymer nanocomposites using conductivity-informed correlation functions

    Computational Materials Science · 2026

    Kavan Shah, Pınar Acar, Gary D. Seidel

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  32. Machine Learning Driven Material Property Prediction Framework for Intelligent Self Healing Polymer Composites Design

    Venue not supplied by source · 2026

    Subba Rao Katragadda, Bagavathi Lakshmi R, Kavitha G, Monika S, V. Divya, J. Jenifer

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  33. Bridging the scales: From interfacial strength to macroscopic performance in chopped basalt fiber reinforced waterborne epoxy composites via integrated measurement and simulation

    Composites Science and Technology · 2026

    Mingliang Li, Zhaoyue Wang, Hongpeng Zheng, Yanli Zhou

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  34. Ionic cellulose derivatives: Charge design and advanced applications

    Progress in Polymer Science · 2026

    Haodong Zhang, Yanbo Zhu, Lu Chen, Mengyi Tao, Mengyuan Chen, Wuyi Hao, Chunyu Chang, Chaoji Chen, Jinping Zhou

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  35. PolyBench: A Reproducible Open Benchmark Platform for Repeat-Unit-Based Polymer Property Prediction

    Polymer science & technology. · 2026

    Wenzhuo Feng, Lunyang Liu, Hongfei Li

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  36. Engineering Polymeric Vectors for Nucleic Acid Delivery: Linking Molecular Architecture, Biological Function, and Computational Design

    Open Research Europe · 2026

    Joachim Emeka Arikibe, Anna Maria Mazzetta, Lisa Casagrande, Aglaé René de Cotret, Cassidy Tomlinson, Denis Gris, Paolo Caliceti

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  37. Inverse Design of Copolyamides via Sequence‐Sensitive Multifidelity Hybrid Models and Teacher–Student Genetic Algorithm

    Materials Genome Engineering Advances · 2026

    Sheng Chen, Chaoran Huang, Jianan Hong, Yuquan He, Yuemeng Qiao, Yang Zhao, Siqin Song, Jiaping Lin, Liang Gao

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  38. Advances in Biodegradable Polymers: Synthesis, Properties and Environmental Applications

    Asian Journal of Chemistry · 2026

    Shallu Saini, Manuj Saini, Hardeep Singh Tuli, Amit Pathania, Damandeep Kaur, Gurpreet Kaur Bhatia, Deekshant Varshney, Subhav Singh

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  39. LLM‐Powered AI Agents in Materials Science: From Autonomous Design to Autonomous Experimentation

    Advanced Functional Materials · 2026

    Tongbo Jiang, Zhengyang Zhang, Mingshuo Nie, Dexin Zhu, Erli Meng, Hong‐Hui Wu, Xinping Mao

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  40. Machine Learning-Guided Design of MQ Silicone Resin Reinforced Addition-Curing Silicone Rubber: From Literature Data Mining to Experimental Validation

    Polymers · 2026

    Tianyi Xu, 黄月文, Hui Liu, Dan Qiu, Yuan Yuan, Shuaitao Zhang, Bin Wang

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  41. Interpretable Tg prediction for polyurethane elastomers under restricted-distribution conditions

    Chemical Engineering Journal · 2026

    Lu Jin, Zhiyan Wei, Zihan Zhuang, Jialu Shang, Shuping Sun, Dichang Xue, 傅德彪, Yindi Zhu, Xiaodong Li, Hao Jiang, Meishuai Zou

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  42. Machine Learning-Guided prediction of tensile properties in short carbon fiber reinforced polypropylene composites

    Composites Part A Applied Science and Manufacturing · 2026

    Jinrong Shi, Yantao Gao

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  43. Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

    Advanced Intelligent Systems · 2026

    Lachlan Alexander, Vianna F. Jafari, Tanja Junkers

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  44. Engineering Oxidative Stress for Precision Therapy: Reactive Oxygen Species-Responsive Hydrogel-Nanocarrier Systems as Translational Redox Drug-Delivery Platforms

    ACS Pharmacology & Translational Science · 2026

    Rana Haris Abdullah, Rabia Bibi, Faiza Imtiaz

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  45. Machine learning for burning rate prediction of solid propellants

    Combustion and Flame · 2026

    Ehtasimul Hoque, Sukriti Singh, Kumar Nagendra

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