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RESEARCH PAPER · Chemical Engineering Journal · 2025

Machine learning-assisted rapid electromagnetic design of flexible graphene-based absorptive composites

Runze Zhang, Ye Yuan, Xiaohan Wang, Xianxian Sun, Shasha Wang, Zibo Yang, Yu Ma, Enshuang Zhang, Yibin Li

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

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Machine learning-assisted rapid electromagnetic design of flexible graphene-based absorptive compositesOriginalAdvances and mechanistic insights into low-frequency (Sub-8 GHz) microwave-absorbing materials: A critical review bridging conventional architectures and emerging frontiers27Machine-Learning-Assisted Density Functional Theory Calculations: A New Approach to Screening Thermal Runaway Gas Sensors for Lithium-Ion Batteries7Single-molecule enhanced Raman spectroscopy in nanocavities: mechanisms and recent advances5Harnessing Machine Learning for EMI Shielding Materials: State-of-the-Art Advances and Prospects Ahead0Transition Metal and Derivative‐Based Aerogels for Microwave Absorption6Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption7Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption10Machine Learning‐Optimized Electromagnetic Wave Absorption in Metal/C Nanocomposites5Navigating the continuous parameter space for ultra-broadband microwave absorption: a sequence-aware deep learning and evolutionary optimization approach1Temperature-Tunable Microwave Absorption in Bamboo-Derived Porous Carbon: A Physics-Based Parametric Framework0Machine Learning-Empowered Electromagnetic Wave Absorbing Materials: From Forward Prediction to Generative Inverse Design4Interface engineering and core-loss regulation in Fe-based amorphous and nanocrystalline soft magnetic composites: from high-frequency power electronics to microwave absorption1Advances in TMDs-Based Electromagnetic Wave Absorbers: From Structural Engineering to Multicomponent Synergy3

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  1. Advances and mechanistic insights into low-frequency (Sub-8 GHz) microwave-absorbing materials: A critical review bridging conventional architectures and emerging frontiers

    Advances in Colloid and Interface Science · 2025-07-21

    Rui Guo, Shutong Li, Jianhui Li, Lianjun Wang, Wan Jiang

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  2. Machine-Learning-Assisted Density Functional Theory Calculations: A New Approach to Screening Thermal Runaway Gas Sensors for Lithium-Ion Batteries

    Langmuir · 2025-08-06

    Tianhong Xia, Xiaofang Hu

    Read original paper ↗ ·

  3. Single-molecule enhanced Raman spectroscopy in nanocavities: mechanisms and recent advances

    Nanotechnology · 2025-10-31

    Huan Pei, Jing Li, Jiale Zhang, Chong Zhao, Jianzhuo Zhu, Yingjie Liu, Yong Qi Wei

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  4. Harnessing Machine Learning for EMI Shielding Materials: State-of-the-Art Advances and Prospects Ahead

    International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) · 2025-11-27

    Reenu Elizabeth John, Suresh Babu M, Aagii Mariam Thomas, Prajina O. K, Anusree P G, Steffy Sara Varghese

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  5. Transition Metal and Derivative‐Based Aerogels for Microwave Absorption

    Small Methods · 2025-12-07

    Shulin Lei, Ziyu Duan, Dingkun Tian, Xi Hong Lu, Yadong Xu, Rong Sun, Yougen Hu

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  6. Machine Learning Driven Window Blinds Inspired Porous Carbon‐Based Flake for Ultra‐Broadband Electromagnetic Wave Absorption

    Advanced Science · 2026-01-13

    Zhe Wang, Wanchong Li, Lu Feng, Zaiqing Yang, Shicheng Jin, Dongxu Zhao, Xiaoyong Wu, Y. Wang, Yu Liang Mao, Jinsong Zhang

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  7. Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

    Advanced Science · 2026-01-22

    Chuang-Wei Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng

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  8. Machine Learning‐Optimized Electromagnetic Wave Absorption in Metal/C Nanocomposites

    Small · 2026-01-23

    Jinghui Zhang, Aming Xie, Weijin Li, Wei Dong, Ruru Gao

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  9. Navigating the continuous parameter space for ultra-broadband microwave absorption: a sequence-aware deep learning and evolutionary optimization approach

    Acta Physico-Chimica Sinica · 2026-02-28

    Xiaochuang Di, Mushan Yuan, Junyu Lu, Shenquan Yang, Cuiqing Zhou, Yang Chen, Huawei Zou

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  10. Temperature-Tunable Microwave Absorption in Bamboo-Derived Porous Carbon: A Physics-Based Parametric Framework

    International Conference on Electrical, Computer and Energy Technologies (ICECET) · 2026-07-01

    Taku Tanaka, Tomoaki Tanaka, Toshitaka Uneoka, Shingo Konishi, Akemi Takahashi, Seito Tanaka, Daisuke Kooka, Reika Hosomi, Keiko Tanaka

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  11. Machine Learning-Empowered Electromagnetic Wave Absorbing Materials: From Forward Prediction to Generative Inverse Design

    Molecules · 2026-07-08

    Tongbaihui Qi, Jie Zhou

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  12. Interface engineering and core-loss regulation in Fe-based amorphous and nanocrystalline soft magnetic composites: from high-frequency power electronics to microwave absorption

    Journal of Materials Science Materials in Electronics · 2026-08-01

    Jinghui Wang, Yuchen Mao, Haibo Sun, Huawen Hu

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  13. Advances in TMDs-Based Electromagnetic Wave Absorbers: From Structural Engineering to Multicomponent Synergy

    Nano-Micro Letters · 2026-08-03

    Yuefeng Yan, Anqi Lun, Boshi Gao, Yuhao Liu, Dechang Jia, Yu Zhou, Xiaoxiao Huang

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