2012
DOI: 10.1016/j.fluid.2012.07.006
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High-pressure phase behavior of binary mixtures containing methylpyrrolidinium derivative ionic liquids and carbon dioxide

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Cited by 31 publications
(33 citation statements)
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References 22 publications
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“…A pressure gauge (Heise, model CC-12-G-A-02B, ±0.05 MPa accuracy, ±0.01 MPa resolution) and an RTD temperature probe (±0.1 K) were installed in the system for pressure and temperature measurements, respectively. The detailed explanation of the system and procedure are available in our previous research articles. …”
Section: Methodsmentioning
confidence: 99%
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“…A pressure gauge (Heise, model CC-12-G-A-02B, ±0.05 MPa accuracy, ±0.01 MPa resolution) and an RTD temperature probe (±0.1 K) were installed in the system for pressure and temperature measurements, respectively. The detailed explanation of the system and procedure are available in our previous research articles. …”
Section: Methodsmentioning
confidence: 99%
“…The mixture parameters were obtained by the conventional mixing rule. The PR-EoS and detailed correlation manner are also explained in our previous research articles. …”
Section: Correlationmentioning
confidence: 99%
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“…In order to develop reliable models, it was crucial to use a large number of experimental data points representing a variety of conditions. In the current work, 744 experimental data points for carbon dioxide solubility in 13 different ILs (36 to 80 points for each IL) were collected from the literature [40][41][42][43][44]. Table 1 presents the references from where the data were gathered and the observed range of experimental measurements.…”
Section: Data Collection and Preparationmentioning
confidence: 99%
“…The current work aims at developing highly robust and easy-to-use machine learning models that can be applied for forecasting the solubility of CO 2 in 13 different ionic liquids at different temperature and pressure conditions. Two rigorous connectionist techniques, namely multilayer perceptron (MLP), and gene expression programming (GEP) are applied on a set of experimental data that was gathered from different literature sources [40][41][42][43][44]. The MLP method was optimized using either Levenberg-Marquardt (LMA) or Bayesian Regularization (BR) techniques.…”
Section: Introductionmentioning
confidence: 99%