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RESEARCH PAPER · npj Computational Materials · 2022

Identification of high-dielectric constant compounds from statistical design

Abhijith Gopakumar, Koushik Pal, Chris M. Wolverton

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

Open in your workspace →Saved 2026-10-12 · complete coverage
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42 direct citing works

Identification of high-dielectric constant compounds from statistical designOriginalUsing Jupyter Tools to Design an Interactive Textbook to Guide Undergraduate Research in Materials Informatics24High-Throughput Screening Modeling for Exploring Low-k Dielectric Constant Crystals0Synergistic Effect of Fluorination and Molecular Orientational Order on the Dielectric Properties of Low-κ Liquid Crystal Polymer Films26Lightweight, Self-Poled, Flexible Piezoelectric Tungsten Disulfide Quantum Dots-Reinforced PVDF-HFP-Based Nanogenerator28Machine learning enhanced prediction of permittivity of spinel microwave dielectric ceramics compared to traditional C-M calculation4High-throughput hybrid-functional DFT calculations of bandgaps and formation energies and multifidelity learning with uncertainty quantification54Enhancing predictions of experimental band gap using machine learning and knowledge transfer5High-throughput screening and machine learning classification of van der Waals dielectrics for 2D nanoelectronics26Construction and application of materials database under data-driven research paradigm3Density Functional Theory Calculations of Nuclear Material Properties in the Creation of a Closed Fuel Cycle: A Short Review8Machine learning research advances in energy storage polymer-based dielectrics11Interpretable model of dielectric constant for rational design of microwave dielectric materials: a machine learning study11Physics-Based Factorized Machine Learning for Predicting Ionic Dielectric Tensors1Data-driven approaches for functional ceramics3

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14 direct citing papers saved.

  1. Using Jupyter Tools to Design an Interactive Textbook to Guide Undergraduate Research in Materials Informatics

    Journal of Chemical Education · 2022-09-19

    Enze Chen, Mark Asta

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  2. High-Throughput Screening Modeling for Exploring Low-k Dielectric Constant Crystals

    International Conference on Electronic Packaging Technology (ICEPT) · 2023-08-08

    Zikang Guo, Yunwen Wu, Hongwei Su, Qing Huang, Shenghong Ju

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  3. Synergistic Effect of Fluorination and Molecular Orientational Order on the Dielectric Properties of Low-κ Liquid Crystal Polymer Films

    Chemistry of Materials · 2023-11-30

    Baekman Kim, Changjae Lee, Jong-Seok Kim, Hyuk Soon Choi, Hyungju Ahn, Dongkyu Kim, Yun Ho Kim, Hyun You Kim, Dong Ki Yoon

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  4. Lightweight, Self-Poled, Flexible Piezoelectric Tungsten Disulfide Quantum Dots-Reinforced PVDF-HFP-Based Nanogenerator

    ACS Applied Electronic Materials · 2024-01-16

    Deepak Kumar Kashyap, Avanish Kumar Srivastava, Manoj Kumar Gupta

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  5. Machine learning enhanced prediction of permittivity of spinel microwave dielectric ceramics compared to traditional C-M calculation

    Modelling and Simulation in Materials Science and Engineering · 2024-01-16

    Xiao-Bin Liu, Chang Su, Qiu-Xia Huang, Sheng-Hui Yang, Lei Zhang, Xiaolan Xie, Huanfu Zhou

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  6. High-throughput hybrid-functional DFT calculations of bandgaps and formation energies and multifidelity learning with uncertainty quantification

    Physical Review Materials · 2024-04-16

    Mohan Liu, Abhijith Gopakumar, Vinay I. Hegde, Jiangang He, Chris M. Wolverton

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  7. Enhancing predictions of experimental band gap using machine learning and knowledge transfer

    Materials Today Communications · 2024-10-15

    Taeseo Ko, Taehyun Park, Minseon Kim, Kyoungmin Min

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  8. High-throughput screening and machine learning classification of van der Waals dielectrics for 2D nanoelectronics

    Nature Communications · 2024-11-04

    Yuhui Li, Guolin Wan, Yongqian Zhu, Jingyu Yang, Yanfang Zhang, Jinbo Pan, Shixuan Du

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  9. Construction and application of materials database under data-driven research paradigm

    Chinese Science Bulletin (Chinese Version) · 2024-11-06

    Junjie Feng, Kun Zhou, Muchen Li, Xinjiang Wang, Lijun Zhang

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  10. Density Functional Theory Calculations of Nuclear Material Properties in the Creation of a Closed Fuel Cycle: A Short Review

    Energy Material Advances · 2025-01-01

    А. Е. Галашев

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  11. Machine learning research advances in energy storage polymer-based dielectrics

    Computational Materials Science · 2025-01-11

    Qixin Yuan, Dong Yue, Zhe Zhang, Yu Feng, Qingguo Chen

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  12. Interpretable model of dielectric constant for rational design of microwave dielectric materials: a machine learning study

    Journal of Materials Informatics · 2025-02-08

    Ye Sheng, Yabei Wu, Chang Bo Jiang, Xiaowen Cui, Yuanqing Mao, Caichao Ye, Wenqing Zhang

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  13. Physics-Based Factorized Machine Learning for Predicting Ionic Dielectric Tensors

    Physical Review X · 2026-02-25

    Atsushi Takigawa, Shin Kiyohara, Yu Kumagai

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  14. 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

    Read original paper ↗ ·
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