Interpretable machine learning analysis on CO2 adsorption and separation capacity of biochar under multi-scenario conditionsOA
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
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,ChinaDepartment 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,ChinaDepartment 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,ChinaSchool of Mechatronics and Energy Engineering,NingboTech University,No.1 South Qianhu Road,Ningbo,315100,ChinaDepartment 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,ChinaDepartment 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,ChinaDepartment 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,ChinaSchool of Electrical and Mechanical Engineering,The University of Adelaide,SA 5005,Australia
BiocharCO2 separationMachine learningMolecular simulationProperty-effective relationship
BiocharCO2 separationMachine learningMolecular simulationProperty-effective relationship
《绿色能源与环境（英文）》 2026 (1)
131-147,17
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).
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