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RESEARCH PAPER · Journal of environmental chemical engineering · 2025

Machine learning predictive models of CO2 adsorption in sustainable waste-derived activated carbon

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

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Machine learning predictive models of CO2 adsorption in sustainable waste-derived activated carbonOriginalModifying CO2 absorption-desorption: A comprehensive review of advances in process design, solvent engineering, energy integration, and operational optimisation4Prediction and multi-objective optimization of pilot-scale carbon capture system based on multi-source monitoring information and novel data-driven model4Optimization and Mechanistic Analysis of Pb2+ Adsorption by Bimetallic MOFs (Fe, Co)-Modified Cellulose Aerogel Based on Artificial Neural Network0Composite adsorbents for carbon capture: Unifying zeolite and activated carbon properties to overcome limitations in CO₂ separation3Machine Learning-Driven Insights Into CO 2 Adsorption in MOFs, Porous Carbon, and Porous Silica: A Comprehensive Review0Lignin-derived carbon materials for a sustainable CO2 economy0Coupling Molecular Simulation and Machine Learning for CO2 Adsorption Prediction on Defective and N/O/S-Doped Graphene Models: Insights into Feature Importance and Synergistic Effects0Explainable machine learning tools for carbon dioxide frost point prediction in methane-based gas mixtures0Droplet entrainment in continuous liquid–liquid separators: Role of the small-droplet tail and uncertainty-aware hybrid modelling0

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  1. Modifying CO2 absorption-desorption: A comprehensive review of advances in process design, solvent engineering, energy integration, and operational optimisation

    Carbon Capture Science & Technology · 2025-11-27

    Meisam Ansarpour, Tohid Nejad Ghaffar Borhani

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  2. Prediction and multi-objective optimization of pilot-scale carbon capture system based on multi-source monitoring information and novel data-driven model

    Energy Conversion and Management · 2025-12-15

    Zhen Tian, Yu Gu, Pelin Bolat, Yuan Zhang, Wenzhong Gao

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  3. Optimization and Mechanistic Analysis of Pb2+ Adsorption by Bimetallic MOFs (Fe, Co)-Modified Cellulose Aerogel Based on Artificial Neural Network

    SSRN Electronic Journal · 2026-01-01

    Ling Jiang, Yutong Jian, Jiashuang Zhang, Yang Miao, Xiaoqiong Yue, Xiang Guo, Jiahe Xie

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  4. Composite adsorbents for carbon capture: Unifying zeolite and activated carbon properties to overcome limitations in CO₂ separation

    Next Materials · 2026-03-17

    Raad S.Al-kannani, Farah Talib Jasim, Amer A. Abdulrahman, Saba A. Gheni, I.M. Rizwanul Fattah, Nalan Türköz Karakullukçu

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  5. Machine Learning-Driven Insights Into CO 2 Adsorption in MOFs, Porous Carbon, and Porous Silica: A Comprehensive Review

    International Conference on Applying New Technology in Green Buildings (ATiGB) · 2026-07-01

    Amar Veer Yadav, R Balagopal Varma, Pooja Sharma, Shresth Kataria, Shrey Kataria, Kunal

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  6. Lignin-derived carbon materials for a sustainable CO2 economy

    npj Materials Sustainability · 2026-07-31

    Arun Arunima Balachandran Kirali, Ganapaty Manickavasagam, Wen-Da Oh, Chao He

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  7. Coupling Molecular Simulation and Machine Learning for CO2 Adsorption Prediction on Defective and N/O/S-Doped Graphene Models: Insights into Feature Importance and Synergistic Effects

    Industrial & Engineering Chemistry Research · 2026-08-18

    Qiu-shi Yu, Zhao Lei, Qin Pei, Zhan‐Ku Li, Zhiping Lei, Hui‐Long Wei, Zheng‐Hong Luo

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  8. Explainable machine learning tools for carbon dioxide frost point prediction in methane-based gas mixtures

    Results in Engineering · 2026-09-09

    Ali Khwaldeh, Gowrishankar J, Sarbeswara Hota, Salama A. Mostafa, Pushpendra Kumar Rajput, Narinder Kaur, Ahmed Kareem Shakir, Navin Kumar, Fereydoon Ranjbar

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  9. Droplet entrainment in continuous liquid–liquid separators: Role of the small-droplet tail and uncertainty-aware hybrid modelling

    Chemical Engineering Journal · 2026-09-12

    Song Zhai, Lukas Thiel, Leo Kerojoki, Song Ye, Stepan Sibirtsev, Andreas Jupke

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