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• W3093076228 endingPage "2368" @default.
• W3093076228 startingPage "2351" @default.
• W3093076228 abstract "The current study deals with modeling of CO2 solubility in various deep eutectic solvents (DESs). Various artificial intelligent methods including PSO-ANN, PSO-ANFIS, LSSVM, and newly proposed correlation were developed, examined and comparatively evaluated. Comprehensive data were gathered from literature and LSSVM and MPR models were found robust and precise models for estimating CO2 solubility in DESs." @default.
• W3093076228 created "2020-10-22" @default.
• W3093076228 creator A5002291261 @default.
• W3093076228 creator A5028691868 @default.
• W3093076228 creator A5054597879 @default.
• W3093076228 creator A5067262369 @default.
• W3093076228 creator A5079695703 @default.
• W3093076228 date "2020-10-12" @default.
• W3093076228 modified "2023-09-27" @default.
• W3093076228 title "Insight into the Estimation of Equilibrium CO2 Absorption by Deep Eutectic Solvents using Computational Approaches" @default.
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