Machine Learning Analysis of the Structure‒Property Relationship of Amine-based Solid Adsorbents for Direct Air Capture
CARBON NEUTRALITY AND CLEAN ENERGY|更新时间:2026-01-25
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Machine Learning Analysis of the Structure‒Property Relationship of Amine-based Solid Adsorbents for Direct Air Capture
“In the field of negative carbon technology, experts use the random forest algorithm to establish a prediction model for adsorbent characteristics and CO2 adsorption capacity, providing key parameters for the industrialization of DAC technology.”
Zhou Zhibin,Zhang Zhiyuan,Qiu Yuqing,et al.Machine learning analysis of the structure‒property relationship of amine-based solid adsorbents for direct air capture[J].Advanced Engineering Sciences,2025,57(5):79‒90.
Zhou Zhibin,Zhang Zhiyuan,Qiu Yuqing,et al.Machine learning analysis of the structure‒property relationship of amine-based solid adsorbents for direct air capture[J].Advanced Engineering Sciences,2025,57(5):79‒90. DOI: 10.12454/j.jsuese.202400007.
Machine Learning Analysis of the Structure‒Property Relationship of Amine-based Solid Adsorbents for Direct Air Capture