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RESEARCH PAPER · ACS Applied Materials & Interfaces · 2025

Accelerating Low-k Dielectric Material Discovery: From Graph Machine Learning to Synthesis

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

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Accelerating Low-k Dielectric Material Discovery: From Graph Machine Learning to SynthesisOriginalMachine learning assisted τf value prediction of ABO3-type microwave dielectric ceramics8Near-zero τ values in BaY2Si3O10-Ba5Si8O21 multi-phase ceramics with excellent compatibility for LTCC technology2Data-driven approaches for functional ceramics3PolyT-GNN: A Graph Neural Network Framework for Data-Driven Discovery of High-Temperature Two-Way Shape Memory Polymers0A computational approach to discovering high-performance, lead-free perovskite solar cells using physics-informed neural networks1Machine learning assisted τf value prediction of ABO4-type microwave dielectric ceramics0Ferroelectric tunable dielectric Materials: Response mechanisms and applications0Discovery of High-Performance Low-k Interconnect Materials via Multi-Target Machine Learning Model0Composition-only machine-learning benchmark for three dielectric properties of single-phase ULTCC ceramics0

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  1. Machine learning assisted τf value prediction of ABO3-type microwave dielectric ceramics

    Journal of Materiomics · 2025-08-08

    Mingyue Yang, Liangyu Mo, Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

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  2. Near-zero τ values in BaY2Si3O10-Ba5Si8O21 multi-phase ceramics with excellent compatibility for LTCC technology

    Ceramics International · 2025-11-06

    Hui Yu Yan, Yue Ma, Yong Shang, Yun Wang, Yun Wang, Kaixin Song, Guoda Xie, Bo Lin Wu, Xingang Ren, Xianliang Wu, Gang Wang

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  3. Data-driven approaches for functional ceramics

    Materials Science and Engineering R Reports · 2026-04-01

    Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

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

    ACS Applied Materials & Interfaces · 2026-05-21

    Amir Teimouri, Xiaowei Mu, Guoqiang Li

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  5. A computational approach to discovering high-performance, lead-free perovskite solar cells using physics-informed neural networks

    Materials Today Communications · 2026-06-01

    Mohamed Moustafa, Abdelrahman M. Al-Atrash, Mahmoud S. Ghanem, Saad H. Elzoheery

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  6. Machine learning assisted τf value prediction of ABO4-type microwave dielectric ceramics

    Materials Research Bulletin · 2026-06-03

    Mingyue Yang, Liangyu Mo, Jincheng Qin, Faqiang Zhang, Mingsheng Ma, Yongxiang Li, Zhifu Liu

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  7. Ferroelectric tunable dielectric Materials: Response mechanisms and applications

    Materials Today · 2026-06-17

    Ruitao Li, Diming Xu, Chao Du, Zhaochen Xi, Zongquan Gu, John Wang, Di Zhou

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  8. Discovery of High-Performance Low-k Interconnect Materials via Multi-Target Machine Learning Model

    International Conference on Electronic Packaging Technology (ICEPT) · 2026-08-01

    Liang Cao, Menghan Li, Dan Xu, Wenlu Wu, Junhao Hua, Cheng Zhang, Ming Li

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  9. Composition-only machine-learning benchmark for three dielectric properties of single-phase ULTCC ceramics

    Journal of Advanced Dielectrics · 2026-09-18

    Tao Zhou, Xuanrui Tu, Longyuan Zhao, Liangchen Fan, Huanhuan Wang, Yuanxun Li, Yulong Liao

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