研究论文
Machine learning exploration of the critical factors for CO2 adsorption capacity on porous carbon materials at different pressures
Xinzhe Zhu, Daniel C.W. Tsang, Lei Wang, Zhishan Su, Deyi Hou, Liangchun Li, Jin Shang
Hong Kong Polytechnic University Technische Universität Dresden Sichuan University Tsinghua University
来源Journal of Cleaner Production
年份2020
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学术脉络
学科主题
工程Carbon Dioxide Capture Technologies
CO2 Sequestration and Geologic Interactions · Machine Learning in Materials Science
参考文献 63
Hydrothermal conversion of biomass waste to activated carbon with high porosity: A review
被引 1,211Akshay Jain, Rajasekhar Balasubramanian, M.P. Srinivasan · Chemical Engineering Journal · 2015
Introduction to Carbon Capture and Sequestration
被引 200Berend Smit, Jeffrey A. Reimer, Curtis M. Oldenburg · The Berkeley lectures on energy · 2013
Assessment of the Role of Micropore Size and N-Doping in CO 2 Capture by Porous Carbons
被引 410Marta Sevilla, José Bernardo Parra, Antonio B. Fuertes · ACS Applied Materials & Interfaces · 2013
此处列出前 3 条
引用本文 186
Applied Machine Learning for Prediction of CO 2 Adsorption on Biomass Waste-Derived Porous Carbons
被引 402Xiangzhou Yuan, Manu Suvarna, Sean Low · Environmental Science & Technology · 2021
Machine learning for the selection of carbon-based materials for tetracycline and sulfamethoxazole adsorption
被引 285Xinzhe Zhu, Zhonghao Wan, Daniel C.W. Tsang · Chemical Engineering Journal · 2020
Biochar as the effective adsorbent to combustion gaseous pollutants: Preparation, activation, functionalization and the adsorption mechanisms
被引 252Chang Wen, Tianyu Liu, Dapeng Wang · Progress in Energy and Combustion Science · 2023
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