Multi-objective genetic algorithm optimization with an artificial neural network for CO2/CH4 adsorption prediction in metal–organic framework

•ANN modelling provides only 1.3% error to predict gas adsorption with MOF.•CO2 uptakes, heat of adsorption, and CO2/CH4 selectivity are optimized with MOGA.•Applying machine learning and MOGA optimization under industrial requirements. The industry requirement of separating gas mixtures via adsorpt...

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Vydané v:	Thermal science and engineering progress Ročník 25; s. 100967
Hlavní autori:	Yulia, Fayza, Chairina, Intan, Zulys, Agustino, Nasruddin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2021
Predmet:	Adsorption Artificial neural network Genetic algorithm Metal organic framework Multi-objective optimization Metal organic framework Multi-objective optimization Artificial neural network Adsorption Genetic algorithm
ISSN:	2451-9049, 2451-9049
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