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RESEARCH PAPER · Advanced Materials · 2025

Machine‐Learning‐Enhanced Trial‐and‐Error for Efficient Optimization of Rubber Composites

Wei Deng, Lijun Liu, Xiaohang Li, Yanyu Huang, Ming Hu, Yafang Zheng, Yuan Yin, Yan Huan, Shuxun Cui, Zhao‐Yan Sun, Jun Jiang, Xiaoniu Yang, Dapeng Wang

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Machine‐Learning‐Enhanced Trial‐and‐Error for Efficient Optimization of Rubber CompositesOriginalMachine Learning-Driven Design and Optimization of Al₂O₃/SiC Composites for Enhanced Mechanical Properties1Multi-scale revolution of artificial intelligence in chemical industry7Fabrication of FeCoNi LDH medium entropy hydroxide nanosheet for catalyzing oxygen evolution reaction10Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment16Optimizing Parameters for Microcellular Foaming and In‐Mold Decoration of Talc/ PP Composites Using PSOBP Neural Network0Tribological properties of recycled rubber with waterjet-modified rubber powder16In Situ Probing of Polymer Residence on the Nanoparticle Surface by Combining Deep Learning and Single‐Molecule Fluorescence Tracking2AI‐Assisted Design of Advanced Polymeric Materials: Challenges and Solutions25Multimodal LSTM with Data Augmentation for Predicting Rubber Compound Cure Properties in Industrial Batch Processes4Machine Learning-assisted Discovery of Multifunctional Coordination in Multicomponent Composites0Leveraging the Concentration-Gradient Diffusion within a Catalyst-Containing Hydrogel Bilayer Enables Safe and Effective Tooth Whitening and Caries Prevention1Interpretable Machine Learning and Symbolic Regression for (Meth)acrylate-rich Random Copolymer Glass Transition Temperature Prediction0Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials0Coupling Data‐Driven and Reinforcement Learning for Material Development and Device Management in Batteries4Sustainable hybrid rubber nanocomposites: a review of green solvents processing and machine learning-driven optimization2Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health Monitoring6Machine learning enabled discoveries of high flame retardancy, strength and biodegradable cellulose nanofiber (CNF)/polyvinyl alcohol (PVA) films4Multi-agent artificial intelligence designs novel catalysts for ultrafast water purification4From Trial‐and‐Error to Artificial Intelligence‐Guided Design of Hard Carbon for Sodium‐Ion Batteries1Materials by machines: A review on intuition and knowledge-driven learning for rapid discovery and optimization0Deep learning-powered quantitative test-strip platform enables robust detection of analytes in crudely extracted samples via a cloud-based smartphone application0Integrated machine learning-guided developing high-performance desulfurization adsorbents based on fragmented feature strategy2Hybrid machine learning workflow for process-property optimization in fused filament fabrication0Machine-learning-enabled solvent engineering for uniform quantum dot packing in efficient and stable quantum-dot light-emitting diodes0Machine Learning for Zinc‐Based Energy Storage Devices: From Data‐Driven Design to Mechanistic Insights0Quality assurance in latex products manufacturing: what is needed for further improvement0Structural Optimization with NSGA-II Using a Multi-Output Surrogate Model Trained on Large-Scale Finite Element Data0Two-Stage Machine Learning for Thermo-Mechanical Properties Optimization of Carbon-Filled Polyimide Composites0Unraveling Processing-Structure-Property Relationships in Filled Silicone Rubbers: The Pivotal Role of Neutron Scattering0

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  2. Multi-scale revolution of artificial intelligence in chemical industry

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  3. Fabrication of FeCoNi LDH medium entropy hydroxide nanosheet for catalyzing oxygen evolution reaction

    Applied Catalysis A General · 2025-06-14

    Xiyan Yue, Hongyun Liang, Zhang Yinsong, Yaoqi Zhou, Jiajia Wang, Zhengkun Xie, Yang Peng, Yufei Ma, Xiumin Li

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  4. Machine Learning-Driven Optimization of Therapeutic Substance Composition for High-Hardness, Fast-Dissolving Microneedles for Androgenetic Alopecia Treatment

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  5. Optimizing Parameters for Microcellular Foaming and In‐Mold Decoration of Talc/ PP Composites Using PSOBP Neural Network

    Journal of Applied Polymer Science · 2025-08-11

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  6. Tribological properties of recycled rubber with waterjet-modified rubber powder

    International Journal of Mechanical Sciences · 2025-08-23

    Yunlong Li, Yanlei Chen, Bin Yang, Yan Liang Su, Quan Wang, Shijie Wang

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  7. In Situ Probing of Polymer Residence on the Nanoparticle Surface by Combining Deep Learning and Single‐Molecule Fluorescence Tracking

    Macromolecular Rapid Communications · 2025-08-29

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  8. AI‐Assisted Design of Advanced Polymeric Materials: Challenges and Solutions

    Advanced Materials · 2025-11-20

    Liang Gao, Siqin Song, Jiaping Lin, Yisheng Xu, Liquan Wang, Lei Du

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  9. Multimodal LSTM with Data Augmentation for Predicting Rubber Compound Cure Properties in Industrial Batch Processes

    Industrial & Engineering Chemistry Research · 2025-12-12

    Mohammad Aghaee, Kaushik Shah, Alexis Francois, Mickael Riou, Kannan Murugesan Paulthangam, Luis Ricardez‐Sandoval

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  10. Machine Learning-assisted Discovery of Multifunctional Coordination in Multicomponent Composites

    Chinese Journal of Polymer Science · 2025-12-18

    Zi-Ran Guo, Sen Xue, Lu He, Zi‐Long Xie, Tian-Hao Yang, Qiang Fu

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  11. Leveraging the Concentration-Gradient Diffusion within a Catalyst-Containing Hydrogel Bilayer Enables Safe and Effective Tooth Whitening and Caries Prevention

    ACS Applied Materials & Interfaces · 2025-12-19

    Ge Pan, Wei Deng, Ming Hu, Bo Peng, Miaomiao Zhang, Zongjia Li, Qian Duan, Jilin Tang, Dapeng Wang

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  12. Interpretable Machine Learning and Symbolic Regression for (Meth)acrylate-rich Random Copolymer Glass Transition Temperature Prediction

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    Shiqian Tan, Shuo Zhang, Tianshu Yu, Dagmar D’hooge, Qi Zhang

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  13. Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

    Advanced Science · 2026-01-28

    Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu

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  14. Coupling Data‐Driven and Reinforcement Learning for Material Development and Device Management in Batteries

    Advanced Materials · 2026-02-05

    Zihao He, Zijun Wang, Yueyao Dong, Kolesnikov Aleksei Viktorovich, Shuwei Hao, Chunhui Yang, Yuanpeng Liu, Liwei Dong

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

    Advanced Composites and Hybrid Materials · 2026-04-16

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  16. Artificial Intelligence-Driven Wearable Sensors for Cardiovascular Health Monitoring

    ACS Sensors · 2026-04-27

    H T Deng, Biao Ma, Gangsheng Chen, Junjie Chi, Jiayi Tong, Fuchao Yu, Bo Lü, Yuehua Chen, Chao Zhao, C Zhang, Hong Liu

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  17. Machine learning enabled discoveries of high flame retardancy, strength and biodegradable cellulose nanofiber (CNF)/polyvinyl alcohol (PVA) films

    Advanced Composites and Hybrid Materials · 2026-04-30

    Yan Feng, Fengqing Chen, Yiping Wen, Shuoshuo Xue, Teng Huang, Qiao Kang, Jiawei Ye, Dan Xie, Baiyu Jiang, Peng Ding, Jinfeng Dai, Pingan Song

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  18. Multi-agent artificial intelligence designs novel catalysts for ultrafast water purification

    Nature Water · 2026-04-30

    Yao Pan, Junxi Guo, Yizhan Huang, Jiaqi Zhou, Shanyuan Niu, Ran Yin, Lili Ding, Ning Xu, Yingzheng Fan, Xinkun Ren, Jinfeng Wang

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  19. From Trial‐and‐Error to Artificial Intelligence‐Guided Design of Hard Carbon for Sodium‐Ion Batteries

    Advanced Functional Materials · 2026-05-07

    Qi Wei, Y Z Liu, Jinhao Pan, X Y Liu, C Y Liu, Jiannan Qi, Bin Wang, Han Xiang Hu, Mingbo Wu

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  20. Materials by machines: A review on intuition and knowledge-driven learning for rapid discovery and optimization

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  21. Deep learning-powered quantitative test-strip platform enables robust detection of analytes in crudely extracted samples via a cloud-based smartphone application

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  22. Integrated machine learning-guided developing high-performance desulfurization adsorbents based on fragmented feature strategy

    Journal of environmental chemical engineering · 2026-06-15

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  23. Hybrid machine learning workflow for process-property optimization in fused filament fabrication

    International Journal on Interactive Design and Manufacturing (IJIDeM) · 2026-06-26

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  24. Machine-learning-enabled solvent engineering for uniform quantum dot packing in efficient and stable quantum-dot light-emitting diodes

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  25. Machine Learning for Zinc‐Based Energy Storage Devices: From Data‐Driven Design to Mechanistic Insights

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  26. Quality assurance in latex products manufacturing: what is needed for further improvement

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  27. Structural Optimization with NSGA-II Using a Multi-Output Surrogate Model Trained on Large-Scale Finite Element Data

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  28. Two-Stage Machine Learning for Thermo-Mechanical Properties Optimization of Carbon-Filled Polyimide Composites

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  29. Unraveling Processing-Structure-Property Relationships in Filled Silicone Rubbers: The Pivotal Role of Neutron Scattering

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