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RESEARCH PAPER · Advanced Theory and Simulations · 2021

Data Science Applied to Carbon Materials: Synthesis, Characterization, and Applications

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Data Science Applied to Carbon Materials: Synthesis, Characterization, and ApplicationsOriginalModeling and Optimum Design of Carbon Nanotube/Polyvinyl Alcohol Hybrid Nanofibers as Electromagnetic Interference Shielding Material6A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O2 / N2 adsorption9A machine learning approach for the automated classification of bulk sp2 and sp3 carbon materials8Machine learning methods for modeling nanofluid flows: a comprehensive review with emphasis on compact heat transfer devices for electronic device cooling18Aerosol CVD Carbon Nanotube Thin Films: From Synthesis to Advanced Applications: A Comprehensive Review64

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  1. Modeling and Optimum Design of Carbon Nanotube/Polyvinyl Alcohol Hybrid Nanofibers as Electromagnetic Interference Shielding Material

    Integrating materials and manufacturing innovation · 2022-08-15

    Kemal Bartu Aydın, Levent Aydın, Fethullah Güneş

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  2. A new intelligent prediction model using machine learning linked to grey wolf optimizer algorithm for O2 / N2 adsorption

    The Canadian Journal of Chemical Engineering · 2023-08-10

    Hossein Mashhadimoslem, Vahid Kermani, Kourosh E. Zanganeh, Ahmed Shafeen, Ali Elkamel

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  3. A machine learning approach for the automated classification of bulk sp2 and sp3 carbon materials

    Journal of Raman Spectroscopy · 2023-10-18

    Bruno G. daFonseca, Sapanbir S. Thind, Ian Booth, Alexandre G. Brolo

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  4. Machine learning methods for modeling nanofluid flows: a comprehensive review with emphasis on compact heat transfer devices for electronic device cooling

    Journal of Thermal Analysis and Calorimetry · 2024-06-01

    M. S. Abhijith, K. P. Soman

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  5. Aerosol CVD Carbon Nanotube Thin Films: From Synthesis to Advanced Applications: A Comprehensive Review

    Advanced Materials · 2025-01-15

    Ilya V. Novikov, Dmitry V. Krasnikov, Il Hyun Lee, Ekaterina E. Agafonova, Svetlana I. Serebrennikova, Yeounggyu Lee, Sihyeok Kim, Jeong‐Seok Nam, Vladislav A. Kondrashov, Jiye Han, Ignat I. Rakov, Albert G. Nasibulin, Il Jeon

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