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Interpretable machine learning analysis on CO2 adsorption and separation capacity of biochar under multi-scenario conditions

Jialiang Dong Ruikun Wang Yulong Xie Fuyan Gao ShiTeng Tan Zhenghui Zhao Qianqian Yin Eric J.Hu

绿色能源与环境（英文）2026，Vol.11Issue(1)：131-147,17.

绿色能源与环境（英文）2026，Vol.11Issue(1)：131-147,17.DOI:10.1016/j.gee.2025.07.001

Interpretable machine learning analysis on CO2 adsorption and separation capacity of biochar under multi-scenario conditions

Jialiang Dong ¹Ruikun Wang ¹Yulong Xie ¹Fuyan Gao ²ShiTeng Tan ¹Zhenghui Zhao ¹Qianqian Yin ¹Eric J.Hu³

作者信息

1. Department of Power Engineering,North China Electric Power University,Baoding,071003,China||Hebei Key Laboratory of Low Carbon and High Efficiency Power Generation Technology,North China Electric Power University,Baoding,071003,China
2. School of Mechatronics and Energy Engineering,NingboTech University,No.1 South Qianhu Road,Ningbo,315100,China
3. School of Electrical and Mechanical Engineering,The University of Adelaide,SA 5005,Australia
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摘要

关键词

Biochar/CO2 separation/Machine learning/Molecular simulation/Property-effective relationship

Key words

Biochar/CO2 separation/Machine learning/Molecular simulation/Property-effective relationship

引用本文复制引用

Jialiang Dong,Ruikun Wang,Yulong Xie,Fuyan Gao,ShiTeng Tan,Zhenghui Zhao,Qianqian Yin,Eric J.Hu..Interpretable machine learning analysis on CO2 adsorption and separation capacity of biochar under multi-scenario conditions[J].绿色能源与环境（英文）,2026,11(1):131-147,17.

基金项目

This work was supported by the Fundamental Research Funds for the Central Universities(No.2025JC008),the Na-tional Natural Science Foundation of China(grant number 52176105),the Science and Technology Project of Hebei Education Department-China(BJK2022063),the Hebei Nat-ural Science Foundation-China(grant number E2025502038),and the Funding Program for Cultivating Innovative Abilities of Graduate Students in Hebei Province of China(CXZZBS2025184). （No.2025JC008）

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