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RESEARCH PAPER · Polymers · 2025

Interpretable Machine Learning Prediction of Polyimide Dielectric Constants: A Feature-Engineered Approach with Experimental Validation

Xiaojie He, Jiachen Wan, Songyang Zhang, Chenggang Zhang, Peng Xiao, Feng Zheng, Qinghua Lu

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

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Interpretable Machine Learning Prediction of Polyimide Dielectric Constants: A Feature-Engineered Approach with Experimental ValidationOriginalAccelerating the Discovery of Low-Dielectric Polyimides Based on Interpretable Machine Learning7Prediction and Interpretability Study of the Glass Transition Temperature of Polyimide Based on Machine Learning and Molecular Dynamics Simulations8Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials5Polymeric Frontiers in Next-Generation Energy Storage: Bridging Molecular Design, Multifunctionality, and Device Applications Across Batteries, Supercapacitors, Solid-State Systems, and Beyond13Machine Learning’s Emergence in Predictive and Prescriptive Materials Design Modeling0Automated dielectric property analysis in composite materials: Toward reproducible application mapping and machine-learning integration3Machine-learning for capacitive energy storage polymer dielectrics: opportunities and challenges9AI-driven multi-property prediction and manufacturability-aware design for electronic materials and devices0Emerging Low-Dielectric-Loss Polymers for Next-Generation GHz-Frequency Communications4Data-Efficient Prediction of Polyimide Properties Based on Pre-trained State Space Models and Transfer Learning0Dielectric characterization and ML-assisted modeling of nano-Urea and nano-DAP liquid fertilizers0

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11 direct citing papers saved.

  1. Accelerating the Discovery of Low-Dielectric Polyimides Based on Interpretable Machine Learning

    ACS Applied Polymer Materials · 2025-07-30

    Rongrong Zheng, Wenjia Huo, Boyang Liang, Xiang Xia Wu

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  2. Prediction and Interpretability Study of the Glass Transition Temperature of Polyimide Based on Machine Learning and Molecular Dynamics Simulations

    Polymers · 2025-07-30

    Wenjia Huo, Boyang Liang, Xiang Xia Wu, Z. Zhang, Weichao Zhou, Haihong Wang, Xupeng Ran, Yaoyao Bai, Rongrong Zheng

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  3. Predictive Approaches for 3D ‐Printing: Methods and Approaches for Polymeric Materials

    Wiley Interdisciplinary Reviews Computational Molecular Science · 2025-09-01

    Isabel Cooley, W.J. Wang, Vladimir A. Kozyrev, Ricky D. Wildman, Blair F. Johnston, Anna K. Croft

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  4. Polymeric Frontiers in Next-Generation Energy Storage: Bridging Molecular Design, Multifunctionality, and Device Applications Across Batteries, Supercapacitors, Solid-State Systems, and Beyond

    Polymers · 2025-10-20

    Akhil Sharma, Sonu Sharma, Mohit Sharma, Vikas Sharma, Shivika Sharma, Iyyakkannu Sivanesan

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  5. Machine Learning’s Emergence in Predictive and Prescriptive Materials Design Modeling

    Springer eBooks · 2026-01-01

    Ajay Pratap, Anand Swaroop Verma

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  6. Automated dielectric property analysis in composite materials: Toward reproducible application mapping and machine-learning integration

    Results in Engineering · 2026-02-06

    Malek Ali, Ammar Alsoud, Yusof A.Y.A. Mohammed, Samer I. Daradkeh, Marwan Suleiman Mousa, Pavla Eliášová, Alexandr Knápek, Dinara S. Sobola, Roman Maršálek

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  7. Machine-learning for capacitive energy storage polymer dielectrics: opportunities and challenges

    Progress in Materials Science · 2026-02-12

    Minzheng Yang, Chaofan Wan, Runlin Liu, Junshang Zhang, Zhonghui Shen, Ce‐Wen Nan, Yang Shen

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  8. AI-driven multi-property prediction and manufacturability-aware design for electronic materials and devices

    Materials Today Electronics · 2026-02-21

    Shujian Zhang, Sihan Wu, Hang Su, Yanqiang Han, Jinjin Li

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  9. Emerging Low-Dielectric-Loss Polymers for Next-Generation GHz-Frequency Communications

    ACS Applied Electronic Materials · 2026-04-28

    Seigo Watanabe, Kenichi Oyaizu

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  10. Data-Efficient Prediction of Polyimide Properties Based on Pre-trained State Space Models and Transfer Learning

    IEEE International Electrical and Energy Conference (CIEEC) · 2026-05-15

    Naiqing Li, Zhiyun Han, Nan Feng, Liang Zou, Rongzhao Jia, Weilin Li

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  11. Dielectric characterization and ML-assisted modeling of nano-Urea and nano-DAP liquid fertilizers

    Physica Scripta · 2026-06-12

    Prahlad D. Chaudhary, Virendrakumar N. Patel, Jayesh D. Shir, Vipinchandra A. Rana, Deepak H. Gadani

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