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Prediction of CO2 absorbing performance of amine aqueous solution using random forest models

Tatsuya Fujii, Masami Sako, Keisuke Ishihama, Yuki Kohno, Takashi Makino, Nobuaki Yasuo, Susumu Kawauchi

2024Gas Science and Engineering11 citationsDOI

Topics & Concepts

Random forestAmine gas treatingAqueous solutionEnvironmental scienceChemistryBiological systemComputer scienceEnvironmental engineeringMachine learningOrganic chemistryBiologyCarbon Dioxide Capture TechnologiesAtmospheric and Environmental Gas DynamicsGas Dynamics and Kinetic Theory
Prediction of CO2 absorbing performance of amine aqueous solution using random forest models | Litcius