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RESEARCH PAPER · Carbon letters · 2022

Decision tree model to efficiently optimize the process conditions of carbonaceous mesophase prepared with coal tar

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42 direct citing works

Decision tree model to efficiently optimize the process conditions of carbonaceous mesophase prepared with coal tarOriginalAnalysis of spinnable mesophase pitch in terms of lyotropic liquid crystalline solution11Low-Temperature Solvothermal Method for Coal Tar-Based Carbonaceous Mesophase Preparation and Its Excellent Performance6Towards adequate policy enhancement: An AI-driven decision tree model for efficient recognition and classification of EPA status via multi-emission parameters7Modification of coal tar-based porous carbon and analysis of its structure and electrochemical characteristics5Applications of machine learning in materials science: From a methodological point of view4Response surface optimization of coal tar-based porous carbon and its supercapacitor performance analysis9Machine learning model prediction of CO2 production and resource utilization of commercial concrete: curing utilization mechanism, carbon emission assessment and visualisation analysis0

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7 direct citing papers saved.

  1. Analysis of spinnable mesophase pitch in terms of lyotropic liquid crystalline solution

    Carbon letters · 2023-01-10

    Takashi Mashio, Taisei Tomaru, Hiroki Shimanoe, Seung-Jae Ha, Young‐Pyo Jeon, Koji Nakabayashi, Jin Miyawaki, Seong‐Ho Yoon

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  2. Low-Temperature Solvothermal Method for Coal Tar-Based Carbonaceous Mesophase Preparation and Its Excellent Performance

    Energy & Fuels · 2023-07-26

    Peng Wu, Chunru Zhou, Xinyuan Xu, Zhibo Zhang, Tian-Yu Han, Chu-an Xiong

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  3. Towards adequate policy enhancement: An AI-driven decision tree model for efficient recognition and classification of EPA status via multi-emission parameters

    City and Environment Interactions · 2023-11-18

    Awomuti Adeboye, Philip Kofi Alimo, George Lartey‐Young, Stephen Agyeman, Tosin Yinka Akintunde, A. O. Agbeja, Olayinka Oderinde, Oluwarotimi Williams Samuel, Henry Otobrise

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  4. Modification of coal tar-based porous carbon and analysis of its structure and electrochemical characteristics

    Carbon letters · 2023-12-01

    Xinyuan Xu, Peng Tao Wu, Chunru Zhou, Qiang Dou, Yuting Lv

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  5. Applications of machine learning in materials science: From a methodological point of view

    Applied and Computational Engineering · 2024-08-05

    Quanliang Liu

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  6. Response surface optimization of coal tar-based porous carbon and its supercapacitor performance analysis

    Electrochimica Acta · 2025-01-05

    Peng Tao Wu, Xinyuan Xu, Yuanmeng Xue, Qiang Dou, Haibin Luo, Chunru Zhou, Wencheng Li, Yuting Lv

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  7. Machine learning model prediction of CO2 production and resource utilization of commercial concrete: curing utilization mechanism, carbon emission assessment and visualisation analysis

    Carbon letters · 2026-01-26

    An-ping Zuo, Chao‐qiang Wang, Cong-Jun Qi, Yan-yan Liu

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