Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines

The activity coefficient at infinite dilution of water in ionic liquids is a thermodynamic property of a paramount importance in separation processes. However, accurate modeling of this parameter remains a challenging task due to the highly nonlinear behavior of the water/ionic liquid systems. Also,...

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Vydané v:	Neural computing & applications Ročník 32; číslo 12; s. 8635 - 8653
Hlavní autori:	Benimam, Hania, Si-Moussa, Cherif, Laidi, Maamar, Hanini, Salah
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.06.2020 Springer Nature B.V
Predmet:	Activity coefficients Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Correlation coefficients Data Mining and Knowledge Discovery Data points Dilution Graphical user interface Image Processing and Computer Vision Interpolation Ionic liquids Ions Learning theory Least squares Model accuracy Neural networks Original Article Probability and Statistics in Computer Science Regression analysis Sensitivity analysis Support vector machines Activity coefficient Ionic liquids Least square support vector machine Support vector machine Infinite dilution Artificial neural networks
ISSN:	0941-0643, 1433-3058
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Abstract	The activity coefficient at infinite dilution of water in ionic liquids is a thermodynamic property of a paramount importance in separation processes. However, accurate modeling of this parameter remains a challenging task due to the highly nonlinear behavior of the water/ionic liquid systems. Also, available models consider a large number of inputs that are usually difficult to access and require complicated use techniques. Therefore, the main objective of this paper is to use artificial intelligence techniques to propose models (based on a reduced number of inputs that are easily accessible, and to improve the accuracy of the correlative performance for activity coefficient at infinite dilution of water in ILs). The present work features the application of artificial neural networks, support vector machine and least square support vector machine, among data-driven methods, for modeling the activity coefficient at infinite dilution of water in 53 ionic liquids. Overall, the models proposed are able to accurately correlate 318 experimental data points gathered from the literature. According to the results, the ANN is more powerful and effective computational learning machine than the two remaining ones. The correlation coefficients R 2 and deviations expressed as an average absolute relative deviation for the neural network model are estimated to be 0.99997 and 0.56%, respectively. Furthermore, the neural network model’s interpolation and extrapolation capabilities are demonstrated, and its accuracy is compared to other proposed models in the literature based on multi-linear regression, least squares support vector machine and another feedforward neural network. This work also includes a graphical user interface for the proposed model, as well as an inputs’ sensitivity analysis.
AbstractList	The activity coefficient at infinite dilution of water in ionic liquids is a thermodynamic property of a paramount importance in separation processes. However, accurate modeling of this parameter remains a challenging task due to the highly nonlinear behavior of the water/ionic liquid systems. Also, available models consider a large number of inputs that are usually difficult to access and require complicated use techniques. Therefore, the main objective of this paper is to use artificial intelligence techniques to propose models (based on a reduced number of inputs that are easily accessible, and to improve the accuracy of the correlative performance for activity coefficient at infinite dilution of water in ILs). The present work features the application of artificial neural networks, support vector machine and least square support vector machine, among data-driven methods, for modeling the activity coefficient at infinite dilution of water in 53 ionic liquids. Overall, the models proposed are able to accurately correlate 318 experimental data points gathered from the literature. According to the results, the ANN is more powerful and effective computational learning machine than the two remaining ones. The correlation coefficients R2 and deviations expressed as an average absolute relative deviation for the neural network model are estimated to be 0.99997 and 0.56%, respectively. Furthermore, the neural network model’s interpolation and extrapolation capabilities are demonstrated, and its accuracy is compared to other proposed models in the literature based on multi-linear regression, least squares support vector machine and another feedforward neural network. This work also includes a graphical user interface for the proposed model, as well as an inputs’ sensitivity analysis. The activity coefficient at infinite dilution of water in ionic liquids is a thermodynamic property of a paramount importance in separation processes. However, accurate modeling of this parameter remains a challenging task due to the highly nonlinear behavior of the water/ionic liquid systems. Also, available models consider a large number of inputs that are usually difficult to access and require complicated use techniques. Therefore, the main objective of this paper is to use artificial intelligence techniques to propose models (based on a reduced number of inputs that are easily accessible, and to improve the accuracy of the correlative performance for activity coefficient at infinite dilution of water in ILs). The present work features the application of artificial neural networks, support vector machine and least square support vector machine, among data-driven methods, for modeling the activity coefficient at infinite dilution of water in 53 ionic liquids. Overall, the models proposed are able to accurately correlate 318 experimental data points gathered from the literature. According to the results, the ANN is more powerful and effective computational learning machine than the two remaining ones. The correlation coefficients R 2 and deviations expressed as an average absolute relative deviation for the neural network model are estimated to be 0.99997 and 0.56%, respectively. Furthermore, the neural network model’s interpolation and extrapolation capabilities are demonstrated, and its accuracy is compared to other proposed models in the literature based on multi-linear regression, least squares support vector machine and another feedforward neural network. This work also includes a graphical user interface for the proposed model, as well as an inputs’ sensitivity analysis.
Author	Benimam, Hania Si-Moussa, Cherif Laidi, Maamar Hanini, Salah
Author_xml	– sequence: 1 givenname: Hania surname: Benimam fullname: Benimam, Hania organization: Biomaterials and Transport Phenomena Laboratory (LBMPT), University Yahia Fares of Médéa – sequence: 2 givenname: Cherif surname: Si-Moussa fullname: Si-Moussa, Cherif organization: Biomaterials and Transport Phenomena Laboratory (LBMPT), University Yahia Fares of Médéa – sequence: 3 givenname: Maamar surname: Laidi fullname: Laidi, Maamar email: laidi.maamar@univ-medea.dz organization: Biomaterials and Transport Phenomena Laboratory (LBMPT), University Yahia Fares of Médéa – sequence: 4 givenname: Salah surname: Hanini fullname: Hanini, Salah organization: Biomaterials and Transport Phenomena Laboratory (LBMPT), University Yahia Fares of Médéa
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Cites_doi	10.1039/b905634c 10.1016/j.jct.2013.08.030 10.1007/s12257-012-0254-4 10.1021/je100638g 10.1080/19942060.2018.1452296 10.1016/j.jhazmat.2008.08.022 10.1016/j.jct.2010.07.011 10.1002/aic.15957 10.1021/jp0671421 10.1016/j.supflu.2010.04.011 10.1007/978-1-4757-2440-0 10.1021/je0602925 10.1016/j.supflu.2008.10.012 10.1590/S0104-66322008000100019 10.1016/j.jhydrol.2011.01.017 10.1016/j.jngse.2015.09.062 10.1002/qsar.200610151 10.1016/j.jct.2013.02.013 10.1021/jp075079+ 10.1016/j.fluid.2010.02.002 10.1002/ange.200351783 10.1021/ie5021415 10.1016/j.ecoenv.2006.06.010 10.1021/acs.iecr.5b04152 10.1021/ie990830p 10.1016/j.jct.2012.05.017 10.1021/jp058015c 10.1021/jp103496d 10.1016/j.jtice.2016.06.027 10.1016/j.jct.2008.01.004 10.1023/B:STCO.0000035301.49549.88 10.1016/j.jct.2011.02.012 10.2478/s11532-008-0034-3 10.1080/19942060.2018.1463871 10.1021/ie034152p 10.4236/ajac.2018.94020 10.1007/978-981-10-5903-2_32 10.1021/je9005085 10.1021/je101040p 10.1016/j.fluid.2007.06.017 10.1016/S0378-3812(00)00357-5 10.1023/A:1018628609742 10.1039/P29930000799 10.1039/b106900d 10.1039/C004968A 10.1016/j.bej.2014.03.010 10.1016/S0020-1693(01)00477-7 10.1016/j.jct.2010.05.017 10.1016/j.watres.2009.09.030 10.1021/je300044x 10.1021/jp034221d 10.1021/cr050948h 10.1021/jp1009498 10.1016/j.cageo.2011.06.011 10.1016/j.fluid.2015.07.007 10.1039/b706677p 10.1002/qsar.200860022 10.1016/j.ejmech.2009.09.006 10.1021/acs.jcim.6b00166 10.1016/j.fluid.2010.05.013 10.1039/C7CP00226B 10.1021/jp980017s 10.1016/j.cherd.2009.08.010 10.1016/j.fluid.2008.04.009 10.1021/ie202934g 10.1080/19942060.2018.1482476 10.1016/0378-3812(91)85037-U 10.1002/qsar.200390007 10.1021/jp109469s 10.1016/j.jhydrol.2015.08.008 10.1016/j.ecocom.2017.06.008 10.1002/nag.731 10.1021/jp0477607 10.1021/jp804107y 10.1016/J.SUPFLU.2011.10.005 10.1016/j.cherd.2016.12.020 10.1021/je00056a027 10.1016/j.fluid.2004.05.009 10.1021/acs.iecr.5b00260 10.1061/(ASCE)1090-0241(2008)134:6(894) 10.1021/je0497799 10.1002/wcms.56 10.1021/je101008y 10.1021/je025626e 10.1016/j.jct.2008.12.018 10.1007/978-3-642-04070-2_100 10.1002/0470870958
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Keywords	Activity coefficient Ionic liquids Least square support vector machine Support vector machine Infinite dilution Artificial neural networks
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References	Valderrama, Forero, Rojas (CR87) 2012; 51 Paduszyński (CR62) 2017; 19 Mai, Koo (CR20) 2014; 87 Kazemi, Minaei Bidgoli, Shamshirband (CR73) 2018; 12 Klamt, Jonas, Bürger, Lohrenz (CR53) 1998; 102 Shiflett, Maginn (CR48) 2017; 63 Pham, Cho, Yun (CR1) 2010; 44 Domańska, Lukoshko (CR40) 2014; 68 Domańska, Paduszyński (CR37) 2010; 42 Mele, Tran, De Paoli Lacerda (CR25) 2003; 115 Moazenzadeh, Mohammadi, Shamshirband, Chau (CR72) 2018; 12 Valderrama, Forero, Rojas (CR88) 2015; 54 Vapnik (CR78) 1999 Bogel-Lukasik, Matkowska, Zakrzewska (CR5) 2010; 295 Wu, Chau (CR75) 2011; 399 Song, Lee, Lim (CR4) 2010; 55 Samui, Sitharam, Kurup (CR93) 2008; 134 Gramatica (CR66) 2007; 26 Klamt (CR51) 2005 Pârvulescu, Hardacre (CR10) 2007; 107 Domańska, Marciniak (CR35) 2008; 112 Fumino, Wulf, Ludwig (CR28) 2009; 11 Pourbasheer, Riahi, Ganjali, Norouzi (CR80) 2009; 44 Domańska, Bogel-Lukasik (CR6) 2005; 109 Freire, Ventura, Santos (CR57) 2008; 268 Al-Anazi, Gates (CR94) 2012; 39 Suykens, Vandewalle (CR82) 1999; 9 Wang, Chen, Liu, Pan (CR83) 2009; 88 Vapnik (CR77) 1998 Ardabili, Najafi, Shamshirband (CR49) 2018; 12 CR50 Carvalho, Álvarez, Machado (CR3) 2009; 48 Domańska, Królikowska (CR39) 2011; 56 Gonfa, Bustam, Sharif (CR60) 2015; 27 Banerjee, Khanna (CR58) 2006; 51 Domańska, Królikowska, Acree, Baker (CR21) 2011; 43 Neves, Batista, Cláudio (CR9) 2010; 55 Smith, Bridson, Leeke (CR14) 2011; 56 Knoop, Tiegs, Gmehling (CR43) 1989; 34 Tropsha, Gramatica, Gombar (CR67) 2003; 22 Yahyaee, Nazifi, Kianpour, Heidar (CR89) 2018; 09 Wlazło, Marciniak (CR22) 2012; 54 Lourenço, Melo, Bogel-Łukasik, Bogel-Łukasik (CR7) 2012; 57 Seddon, Boghosian, Dracopoulos, Kontoyannis, Voyiatzis (CR19) 1999 Domańska, Marciniak (CR33) 2008; 40 Kato, Krummen, Gmehling (CR46) 2004; 224 Klamt, Schüürmann (CR54) 1993; 2 Smola, Schölkopf (CR92) 2004; 14 Cawley, Talbot (CR85) 2010; 11 Kurnia, Pinho, Coutinho (CR59) 2014; 53 Klamt (CR63) 2011; 1 Stehlík, Hermann, Torres (CR95) 2017; 31 Katayanagi, Nishikawa, Shimozaki (CR30) 2004; 108 Arce, Earle, Katdare (CR16) 2007; 261 Khaouane, Si-Moussa, Hanini, Benkortbi (CR69) 2012; 17 Petkovic, Seddon, Rebelo, Silva Pereira (CR2) 2011; 40 Eike, Brennecke, Maginn (CR65) 2004; 43 Gonfa, Bustam, Murugesan (CR47) 2012; 3 Hough, Smiglak, Rodríguez (CR13) 2007; 31 Samui, Sitharam (CR90) 2008; 32 Bogel-Lukasik, Santos, Bogel-Lukasik, Nunes Da Ponte (CR12) 2010; 54 Jiang, Wang, Voth (CR31) 2007; 111 Domańska, Marciniak (CR34) 2010; 114 Diedenhofen, Eckert, Klamt (CR56) 2003; 48 Vapnik (CR79) 1995 Domańska, Królikowska (CR38) 2010; 114 Cammarata, Kazarian, Salter, Welton (CR23) 2001; 3 Luis, Ortiz, Aldaco, Irabien (CR17) 2007; 67 Kaur, Kalra, Sharma (CR71) 2018; 624 Domańska, Marciniak (CR32) 2007; 111 Diedenhofen, Klamt (CR55) 2010; 294 Ghaslani, Eshaghi Gorji, Ebrahimpoor Gorji, Riahi (CR84) 2017; 120 Vapnik, Golowich, Smola, Mozer, Jordan, Petsche (CR81) 1997 Huang, Chen, Sun, Wang (CR24) 2001; 320 Marin-Rimoldi, Shah, Maginn (CR64) 2015; 407 Ajmani, Rogers, Barley (CR76) 2008; 27 Vasiltsova, Verevkin, Bich (CR45) 2005; 50 Melo, Bogel-Łukasik, Bogel-Łukasik (CR11) 2012; 61 Paduszyński (CR41) 2016; 56 CR98 Vapnik, Vapnik, Golowich, Smola (CR91) 1996; 9 CR97 Taormina, Chau, Sivakumar (CR70) 2015; 529 CR96 Hanke, Lynden-Bell (CR29) 2003; 107 Si-Moussa, Hanini, Derriche (CR68) 2008; 25 Alessi, Fermeglia, Kikic (CR86) 1991; 70 Klamt, Eckert (CR52) 2000; 172 Dwan, Durant, Ghandi (CR26) 2008; 6 Torrecilla, García, Rojo, Rodríguez (CR18) 2009; 164 Krummen, Gruber, Gmehling (CR44) 2000; 39 Lee, Kuo, Chen (CR15) 2006; 30 Zhang, Wang, Yu (CR27) 2010; 114 Domańska, Laskowska (CR36) 2009; 41 Gonfa, Bustam, Shariff (CR61) 2016; 66 Matheswaran, Wilfred, Kurnia, Ramli (CR42) 2016; 55 Alevizou, Voutsas (CR8) 2013; 62 Nami, Deyhimi (CR74) 2011; 43 AV Vapnik (4356_CR78) 1999 D Ghaslani (4356_CR84) 2017; 120 R Moazenzadeh (4356_CR72) 2018; 12 JO Valderrama (4356_CR88) 2015; 54 KA Kurnia (4356_CR59) 2014; 53 TPT Pham (4356_CR1) 2010; 44 G Gonfa (4356_CR61) 2016; 66 QG Zhang (4356_CR27) 2010; 114 U Domańska (4356_CR37) 2010; 42 E Marin-Rimoldi (4356_CR64) 2015; 407 A Arce (4356_CR16) 2007; 261 P Alessi (4356_CR86) 1991; 70 TV Vasiltsova (4356_CR45) 2005; 50 DM Eike (4356_CR65) 2004; 43 K Fumino (4356_CR28) 2009; 11 J-F Huang (4356_CR24) 2001; 320 K Paduszyński (4356_CR41) 2016; 56 A Klamt (4356_CR54) 1993; 2 4356_CR50 P Matheswaran (4356_CR42) 2016; 55 VI Pârvulescu (4356_CR10) 2007; 107 K Smith (4356_CR14) 2011; 56 U Domańska (4356_CR34) 2010; 114 M Wlazło (4356_CR22) 2012; 54 C Lourenço (4356_CR7) 2012; 57 A Klamt (4356_CR53) 1998; 102 JO Valderrama (4356_CR87) 2012; 51 T Banerjee (4356_CR58) 2006; 51 A Yahyaee (4356_CR89) 2018; 09 V Vapnik (4356_CR91) 1996; 9 CI Melo (4356_CR11) 2012; 61 C Si-Moussa (4356_CR68) 2008; 25 M Krummen (4356_CR44) 2000; 39 U Domańska (4356_CR40) 2014; 68 U Domańska (4356_CR36) 2009; 41 J Kaur (4356_CR71) 2018; 624 P Gramatica (4356_CR66) 2007; 26 K Seddon (4356_CR19) 1999 A Klamt (4356_CR52) 2000; 172 CMSS Neves (4356_CR9) 2010; 55 R Kato (4356_CR46) 2004; 224 L Khaouane (4356_CR69) 2012; 17 M Stehlík (4356_CR95) 2017; 31 AV Vapnik (4356_CR79) 1995 AF Al-Anazi (4356_CR94) 2012; 39 U Domańska (4356_CR38) 2010; 114 P Samui (4356_CR90) 2008; 32 T Lee (4356_CR15) 2006; 30 F Nami (4356_CR74) 2011; 43 U Domańska (4356_CR32) 2007; 111 JAK Suykens (4356_CR82) 1999; 9 AJ Smola (4356_CR92) 2004; 14 M Petkovic (4356_CR2) 2011; 40 GC Cawley (4356_CR85) 2010; 11 P Samui (4356_CR93) 2008; 134 SMR Kazemi (4356_CR73) 2018; 12 X Wang (4356_CR83) 2009; 88 NL Mai (4356_CR20) 2014; 87 U Domańska (4356_CR39) 2011; 56 4356_CR97 4356_CR98 R Bogel-Lukasik (4356_CR5) 2010; 295 EI Alevizou (4356_CR8) 2013; 62 AV Vapnik (4356_CR77) 1998 4356_CR96 A Tropsha (4356_CR67) 2003; 22 R Taormina (4356_CR70) 2015; 529 H Katayanagi (4356_CR30) 2004; 108 E Pourbasheer (4356_CR80) 2009; 44 M Diedenhofen (4356_CR56) 2003; 48 A Klamt (4356_CR51) 2005 K Paduszyński (4356_CR62) 2017; 19 U Domańska (4356_CR35) 2008; 112 G Gonfa (4356_CR47) 2012; 3 J Dwan (4356_CR26) 2008; 6 SF Ardabili (4356_CR49) 2018; 12 G Gonfa (4356_CR60) 2015; 27 PJ Carvalho (4356_CR3) 2009; 48 A Mele (4356_CR25) 2003; 115 S Ajmani (4356_CR76) 2008; 27 HN Song (4356_CR4) 2010; 55 U Domańska (4356_CR6) 2005; 109 E Bogel-Lukasik (4356_CR12) 2010; 54 JS Torrecilla (4356_CR18) 2009; 164 U Domańska (4356_CR33) 2008; 40 M Diedenhofen (4356_CR55) 2010; 294 MG Freire (4356_CR57) 2008; 268 MB Shiflett (4356_CR48) 2017; 63 U Domańska (4356_CR21) 2011; 43 WL Hough (4356_CR13) 2007; 31 CG Hanke (4356_CR29) 2003; 107 CL Wu (4356_CR75) 2011; 399 C Knoop (4356_CR43) 1989; 34 W Jiang (4356_CR31) 2007; 111 A Klamt (4356_CR63) 2011; 1 P Luis (4356_CR17) 2007; 67 L Cammarata (4356_CR23) 2001; 3 V Vapnik (4356_CR81) 1997
References_xml	– ident: CR97 – volume: 11 start-page: 8790 year: 2009 ident: CR28 article-title: The potential role of hydrogen bonding in aprotic and protic ionic liquids publication-title: Phys Chem Chem Phys doi: 10.1039/b905634c – volume: 68 start-page: 53 year: 2014 end-page: 59 ident: CR40 article-title: Thermodynamics and activity coefficients at infinite dilution for organic solutes and water in the ionic liquid 1-butyl-1-methylmorpholinium tricyanomethanide publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2013.08.030 – volume: 17 start-page: 1048 year: 2012 end-page: 1054 ident: CR69 article-title: Optimization of culture conditions for the production of pleuromutilin from pleurotus mutilus using a hybrid method based on central composite design, neural network, and particle swarm optimization publication-title: Biotechnol Bioprocess Eng doi: 10.1007/s12257-012-0254-4 – volume: 55 start-page: 5065 year: 2010 end-page: 5073 ident: CR9 article-title: Thermophysical properties and water saturation of [PF 6]-based ionic liquids publication-title: J Chem Eng Data doi: 10.1021/je100638g – volume: 12 start-page: 438 year: 2018 end-page: 458 ident: CR49 article-title: Computational intelligence approach for modeling hydrogen production: a review publication-title: Eng Appl Comput Fluid Mech doi: 10.1080/19942060.2018.1452296 – volume: 164 start-page: 182 year: 2009 end-page: 194 ident: CR18 article-title: Estimation of toxicity of ionic liquids in Leukemia Rat Cell Line and Acetylcholinesterase enzyme by principal component analysis, neural networks and multiple lineal regressions publication-title: J Hazard Mater doi: 10.1016/j.jhazmat.2008.08.022 – volume: 43 start-page: 22 year: 2011 end-page: 27 ident: CR74 article-title: Prediction of activity coefficients at infinite dilution for organic solutes in ionic liquids by artificial neural network publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2010.07.011 – volume: 63 start-page: 4722 year: 2017 end-page: 4737 ident: CR48 article-title: The solubility of gases in ionic liquids publication-title: AIChE J doi: 10.1002/aic.15957 – volume: 111 start-page: 4812 year: 2007 end-page: 4818 ident: CR31 article-title: Molecular dynamics simulation of nanostructural organization in ionic liquid/water mixtures publication-title: J Phys Chem B doi: 10.1021/jp0671421 – volume: 54 start-page: 210 year: 2010 end-page: 217 ident: CR12 article-title: Selectivity enhancement in the catalytic heterogeneous hydrogenation of limonene in supercritical carbon dioxide by an ionic liquid publication-title: J Supercrit Fluids doi: 10.1016/j.supflu.2010.04.011 – year: 1995 ident: CR79 publication-title: The nature of statistical learning theory doi: 10.1007/978-1-4757-2440-0 – volume: 51 start-page: 2170 year: 2006 end-page: 2177 ident: CR58 article-title: Infinite dilution activity coefficients for trihexyltetradecyl phosphonium ionic liquids: measurements and COSMO-RS prediction publication-title: J Chem Eng Data doi: 10.1021/je0602925 – volume: 48 start-page: 99 year: 2009 end-page: 107 ident: CR3 article-title: High pressure phase behavior of carbon dioxide in 1-alkyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide ionic liquids publication-title: J Supercrit Fluids doi: 10.1016/j.supflu.2008.10.012 – volume: 25 start-page: 183 year: 2008 end-page: 199 ident: CR68 article-title: Prediction of high-pressure vapor liquid equilibrium of six Binary systems, carbon dioxide with six esters, using an artificial neural network model publication-title: Braz J Chem Eng doi: 10.1590/S0104-66322008000100019 – volume: 399 start-page: 394 year: 2011 end-page: 409 ident: CR75 article-title: Rainfall-runoff modeling using artificial neural network coupled with singular spectrum analysis publication-title: J Hydrol doi: 10.1016/j.jhydrol.2011.01.017 – volume: 27 start-page: 1141 year: 2015 end-page: 1148 ident: CR60 article-title: Tuning ionic liquids for natural gas dehydration using COSMO-RS methodology publication-title: J Nat Gas Sci Eng doi: 10.1016/j.jngse.2015.09.062 – volume: 26 start-page: 694 year: 2007 end-page: 701 ident: CR66 article-title: Principles of QSAR models validation: internal and external publication-title: QSAR Comb Sci doi: 10.1002/qsar.200610151 – volume: 62 start-page: 69 year: 2013 end-page: 78 ident: CR8 article-title: Solubilities of p-coumaric and caffeic acid in ionic liquids and organic solvents publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2013.02.013 – volume: 111 start-page: 11984 year: 2007 end-page: 11988 ident: CR32 article-title: Activity coefficients at infinite dilution measurements for organic Solutes and water in the ionic liquid 1-ethyl-3-methylimidazolium Trifluoroacetate publication-title: J Phys Chem B doi: 10.1021/jp075079+ – volume: 294 start-page: 31 year: 2010 end-page: 38 ident: CR55 article-title: COSMO-RS as a tool for property prediction of IL mixtures: a review publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2010.02.002 – volume: 115 start-page: 4500 year: 2003 end-page: 4502 ident: CR25 article-title: The structure of a room-temperature ionic liquid with and without trace amounts of water: the role of C-H…O and C–H…F interactions in 1-n-butyl-3-methylimidazolium tetrafluoroborate publication-title: Angew Chemie doi: 10.1002/ange.200351783 – volume: 53 start-page: 12466 year: 2014 end-page: 12475 ident: CR59 article-title: Evaluation of the conductor-like screening model for real solvents for the prediction of the water activity coefficient at infinite dilution in ionic liquids publication-title: Ind Eng Chem Res doi: 10.1021/ie5021415 – volume: 67 start-page: 423 year: 2007 end-page: 429 ident: CR17 article-title: A novel group contribution method in the development of a QSAR for predicting the toxicity (Vibrio fischeri EC50) of ionic liquids publication-title: Ecotoxicol Environ Saf doi: 10.1016/j.ecoenv.2006.06.010 – start-page: 281 year: 1997 end-page: 287 ident: CR81 article-title: Support vector method for function approximation, regression estimation and signal processing publication-title: Advances in neural information processing systems – volume: 55 start-page: 788 year: 2016 end-page: 797 ident: CR42 article-title: Overview of activity coeffient of thiophene at infinite dilution in ionic liquids and their modeling using COSMO-RS publication-title: Ind Eng Chem Res doi: 10.1021/acs.iecr.5b04152 – volume: 39 start-page: 2114 year: 2000 end-page: 2123 ident: CR44 article-title: Measurement of activity coefficients at infinite dilution in solvent mixtures using the dilutor technique publication-title: Ind Eng Chem Res doi: 10.1021/ie990830p – volume: 9 start-page: 281 issue: 9 year: 1996 end-page: 287 ident: CR91 article-title: Support vector method for function approximation, regression estimation, and signal processing publication-title: Adv Neural Inf Process Syst – volume: 54 start-page: 366 year: 2012 end-page: 372 ident: CR22 article-title: Activity coefficients at infinite dilution and physicochemical properties for organic solutes and water in the ionic liquid 4-(2-methoxyethyl)-4-methylmorpholinium trifluorotris(perfluoroethyl)phosphate publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2012.05.017 – volume: 109 start-page: 12124 year: 2005 end-page: 12132 ident: CR6 article-title: Physicochemical properties and solubility of alkyl-(2-hydroxyethyl)-dimethylammonium bromide publication-title: J Phys Chem B doi: 10.1021/jp058015c – volume: 114 start-page: 8460 year: 2010 end-page: 8466 ident: CR38 article-title: Measurements of activity coefficients at infinite dilution in solvent mixtures with thiocyanate-based ionic liquids using GLC technique publication-title: J Phys Chem B doi: 10.1021/jp103496d – volume: 3 start-page: 244 year: 2012 end-page: 254 ident: CR47 article-title: COSMO-RS based screening ionic liquids for separation of benzene and cyclohexane publication-title: Int J Chem Environ Eng – volume: 66 start-page: 222 year: 2016 end-page: 229 ident: CR61 article-title: Quantitative structure–activity relationships (QSARs) for estimation of activity coefficient at infinite dilution of water in ionic liquids for natural gas dehydration publication-title: J Taiwan Inst Chem Eng doi: 10.1016/j.jtice.2016.06.027 – volume: 40 start-page: 860 year: 2008 end-page: 866 ident: CR33 article-title: Measurements of activity coefficients at infinite dilution of aromatic and aliphatic hydrocarbons, alcohols, and water in the new ionic liquid [EMIM][SCN] using GLC publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2008.01.004 – volume: 14 start-page: 199 year: 2004 end-page: 222 ident: CR92 article-title: A tutorial on support vector regression publication-title: Stat Comput doi: 10.1023/B:STCO.0000035301.49549.88 – volume: 43 start-page: 1050 year: 2011 end-page: 1057 ident: CR21 article-title: Activity coefficients at infinite dilution measurements for organic solutes and water in the ionic liquid 1-ethyl-3-methylimidazolium tetracyanoborate publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2011.02.012 – volume: 6 start-page: 347 year: 2008 end-page: 358 ident: CR26 article-title: Nuclear magnetic resonance spectroscopic studies of the trihexyl (tetradecyl) phosphonium chloride ionic liquid mixtures with water publication-title: Cent Eur J Chem doi: 10.2478/s11532-008-0034-3 – volume: 12 start-page: 506 year: 2018 end-page: 516 ident: CR73 article-title: Novel genetic-based negative correlation learning for estimating soil temperature publication-title: Eng Appl Comput Fluid Mech doi: 10.1080/19942060.2018.1463871 – volume: 43 start-page: 1039 year: 2004 end-page: 1048 ident: CR65 article-title: Predicting infinite-dilution activity coefficients of organic solutes in ionic liquids publication-title: Ind Eng Chem Res doi: 10.1021/ie034152p – volume: 09 start-page: 257 year: 2018 end-page: 271 ident: CR89 article-title: experimental investigation and modeling of activity coefficient at infinite dilution of solutes using dicationic solvent based on pyrrolidinium as a new stationary phase in gas chromatography publication-title: Am J Anal Chem doi: 10.4236/ajac.2018.94020 – volume: 624 start-page: 305 year: 2018 end-page: 314 ident: CR71 article-title: Comparative survey of swarm intelligence optimization approaches for ANN optimization publication-title: Adv Intell Syst Comput doi: 10.1007/978-981-10-5903-2_32 – volume: 55 start-page: 891 year: 2010 end-page: 896 ident: CR4 article-title: Measurement of CO solubility in ionic liquids: [BMP][TfO] and [P14,6,6,6][Tf 2 N] by measuring bubble-point pressure publication-title: J Chem Eng Data doi: 10.1021/je9005085 – volume: 56 start-page: 2039 issue: 5 year: 2011 end-page: 2043 ident: CR14 article-title: Solubilities of pharmaceuticals compounds in ionic liquids publication-title: J Chem Eng Data doi: 10.1021/je101040p – volume: 261 start-page: 427 year: 2007 end-page: 433 ident: CR16 article-title: Phase equilibria of mixtures of mutually immiscible ionic liquids publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2007.06.017 – volume: 11 start-page: 2079 year: 2010 end-page: 2107 ident: CR85 article-title: On over-fitting in model selection and subsequent selection bias in performance evaluation publication-title: J Mach Learn Res – volume: 172 start-page: 43 year: 2000 end-page: 72 ident: CR52 article-title: COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids publication-title: Fluid Phase Equilib doi: 10.1016/S0378-3812(00)00357-5 – volume: 9 start-page: 293 year: 1999 end-page: 300 ident: CR82 article-title: Least squares support vector machine classifiers publication-title: Neural Process Lett doi: 10.1023/A:1018628609742 – volume: 2 start-page: 799 issue: 5 year: 1993 end-page: 805 ident: CR54 article-title: COSMO: a new approach to dielectric screening in solvents with explicit expressions for the screening energy and its gradient publication-title: J Chem Soc doi: 10.1039/P29930000799 – volume: 3 start-page: 5192 year: 2001 end-page: 5200 ident: CR23 article-title: Molecular states of water in room temperature ionic liquids publication-title: Phys Chem Chem Phys doi: 10.1039/b106900d – volume: 40 start-page: 1383 year: 2011 end-page: 1403 ident: CR2 article-title: Ionic liquids: a pathway to environmental acceptability publication-title: Chem Soc Rev doi: 10.1039/C004968A – volume: 87 start-page: 33 year: 2014 end-page: 40 ident: CR20 article-title: Quantitative prediction of lipase reaction in ionic liquids by QSAR using COSMO-RS molecular descriptors publication-title: Biochem Eng J doi: 10.1016/j.bej.2014.03.010 – volume: 320 start-page: 7 year: 2001 end-page: 11 ident: CR24 article-title: NMR evidence of hydrogen bonding in 1-ethyl-3-methylimidazolium-tetrafluoroborate room temperature ionic liquid publication-title: Inorg Chim Acta doi: 10.1016/S0020-1693(01)00477-7 – volume: 42 start-page: 1361 year: 2010 end-page: 1366 ident: CR37 article-title: Measurements of activity coefficients at infinite dilution of organic solutes and water in 1-propyl-1-methylpiperidinium bis{(trifluoromethyl)sulfonyl}imide ionic liquid using g.l.c publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2010.05.017 – volume: 44 start-page: 352 year: 2010 end-page: 372 ident: CR1 article-title: Environmental fate and toxicity of ionic liquids: a review publication-title: Water Res doi: 10.1016/j.watres.2009.09.030 – year: 2005 ident: CR51 publication-title: COSMO-RS: from quantum chemistry to fluid phase thermodynamics and drug design – volume: 57 start-page: 1525 year: 2012 end-page: 1533 ident: CR7 article-title: Solubility advantage of pyrazine-2-carboxamide: application of alternative solvents on the way to the future pharmaceutical development publication-title: J Chem Eng Data doi: 10.1021/je300044x – volume: 107 start-page: 10873 year: 2003 end-page: 10878 ident: CR29 article-title: A simulation study of water-dialkylimidazolium ionic liquid mixtures publication-title: J Phys Chem B doi: 10.1021/jp034221d – volume: 107 start-page: 2615 year: 2007 end-page: 2665 ident: CR10 article-title: Catalysis in ionic liquids publication-title: Chem Rev doi: 10.1021/cr050948h – ident: CR96 – volume: 114 start-page: 4747 year: 2010 end-page: 4754 ident: CR27 article-title: The hydrogen bonding interactions between the ionic liquid 1-ethyl-3-methylimidazolium ethyl sulfate and water publication-title: J Phys Chem B doi: 10.1021/jp1009498 – ident: CR50 – volume: 30 start-page: 72 year: 2006 end-page: 92 ident: CR15 article-title: Solubility, polymorphism, crystallinity, and crystal habit of acetaminophen and ibuprofen by initial solvent screening publication-title: Pharm Technol – volume: 39 start-page: 64 year: 2012 end-page: 76 ident: CR94 article-title: Support vector regression to predict porosity and permeability: effect of sample size publication-title: Comput Geosci doi: 10.1016/j.cageo.2011.06.011 – volume: 407 start-page: 117 year: 2015 end-page: 125 ident: CR64 article-title: Monte Carlo simulations of water solubility in ionic liquids: a force field assessment publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2015.07.007 – volume: 31 start-page: 1429 year: 2007 ident: CR13 article-title: The third evolution of ionic liquids: active pharmaceutical ingredients publication-title: New J Chem doi: 10.1039/b706677p – volume: 27 start-page: 1346 year: 2008 end-page: 1361 ident: CR76 article-title: Characterization of mixtures part 1: prediction of infinite-dilution activity coefficients using neural network-based QSPR models publication-title: QSAR Comb Sci doi: 10.1002/qsar.200860022 – volume: 44 start-page: 5023 year: 2009 end-page: 5028 ident: CR80 article-title: Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity publication-title: Eur J Med Chem doi: 10.1016/j.ejmech.2009.09.006 – volume: 56 start-page: 1420 year: 2016 end-page: 1437 ident: CR41 article-title: In silico calculation of infinite dilution activity coefficients of molecular solutes in ionic liquids: critical review of current methods and new models based on three machine learning algorithms publication-title: J Chem Inf Model doi: 10.1021/acs.jcim.6b00166 – volume: 295 start-page: 177 year: 2010 end-page: 185 ident: CR5 article-title: The phase envelopes of alternative solvents (ionic liquid, CO ) and building blocks of biomass origin (lactic acid, propionic acid) publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2010.05.013 – volume: 19 start-page: 11835 year: 2017 end-page: 11850 ident: CR62 article-title: An overview of the performance of the COSMO-RS approach in predicting the activity coefficients of molecular solutes in ionic liquids and derived properties at infinite dilution publication-title: Phys Chem Chem Phys doi: 10.1039/C7CP00226B – volume: 102 start-page: 5074 year: 1998 end-page: 5085 ident: CR53 article-title: Refinement and parametrization of COSMO-RS publication-title: J Phys Chem A doi: 10.1021/jp980017s – volume: 88 start-page: 415 year: 2009 end-page: 420 ident: CR83 article-title: Hybrid modeling of penicillin fermentation process based on least square support vector machine publication-title: Chem Eng Res Des doi: 10.1016/j.cherd.2009.08.010 – volume: 268 start-page: 74 year: 2008 end-page: 84 ident: CR57 article-title: Evaluation of COSMO-RS for the prediction of LLE and VLE of water and ionic liquids binary systems publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2008.04.009 – volume: 51 start-page: 7838 year: 2012 end-page: 7844 ident: CR87 article-title: Critical properties and normal boiling temperature of ionic liquids: update and a new consistency test publication-title: Ind Eng Chem Res doi: 10.1021/ie202934g – volume: 12 start-page: 584 year: 2018 end-page: 597 ident: CR72 article-title: Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran publication-title: Eng Appl Comput Fluid Mech doi: 10.1080/19942060.2018.1482476 – volume: 70 start-page: 239 year: 1991 end-page: 250 ident: CR86 article-title: Significance of dilute regions publication-title: Fluid Phase Equilib doi: 10.1016/0378-3812(91)85037-U – volume: 22 start-page: 69 year: 2003 end-page: 77 ident: CR67 article-title: The importance of being earnest: validation is the absolute essential for successful application and interpretation of QSPR models publication-title: QSAR Comb Sci doi: 10.1002/qsar.200390007 – volume: 114 start-page: 16542 year: 2010 end-page: 16547 ident: CR34 article-title: Physicochemical properties and activity coefficients at infinite dilution for organic solutes and water in the ionic liquid 1-decyl-3-methylimidazolium tetracyanoborate publication-title: J Phys Chem B doi: 10.1021/jp109469s – volume: 529 start-page: 1788 year: 2015 end-page: 1797 ident: CR70 article-title: Neural network river forecasting through baseflow separation and binary-coded swarm optimization publication-title: J Hydrol doi: 10.1016/j.jhydrol.2015.08.008 – volume: 31 start-page: 149 year: 2017 end-page: 164 ident: CR95 article-title: On dynamics underlying variance of mass balance estimation in Chilean glaciers publication-title: Ecol Complex doi: 10.1016/j.ecocom.2017.06.008 – volume: 32 start-page: 2033 year: 2008 end-page: 2043 ident: CR90 article-title: Least-square support vector machine applied to settlement of shallow foundations on cohesionless soils publication-title: Int J Numer Anal Methods Geomech doi: 10.1002/nag.731 – volume: 108 start-page: 19451 year: 2004 end-page: 19457 ident: CR30 article-title: Mixing schemes in ionic liquid–H O systems: a thermodynamic study publication-title: J Phys Chem B doi: 10.1021/jp0477607 – ident: CR98 – volume: 112 start-page: 11100 year: 2008 end-page: 11105 ident: CR35 article-title: Activity coefficients at infinite dilution measurements for organic solutes and water in the ionic liquid 1-butyl-3-methylimidazolium trifluoromethanesulfonate publication-title: J Phys Chem B doi: 10.1021/jp804107y – volume: 61 start-page: 191 year: 2012 end-page: 198 ident: CR11 article-title: Combination of supercritical carbon dioxide and ionic liquid in a novel assembly of carvacrol publication-title: J Supercrit Fluids doi: 10.1016/J.SUPFLU.2011.10.005 – volume: 120 start-page: 15 year: 2017 end-page: 25 ident: CR84 article-title: Descriptive and predictive models for Henry’s law constant of CO in ionic liquids: a QSPR study publication-title: Chem Eng Res Des doi: 10.1016/j.cherd.2016.12.020 – volume: 34 start-page: 240 year: 1989 end-page: 247 ident: CR43 article-title: Measurement of.gamma.infin. using gas-liquid chromatography. 3. Results for the stationary phases 10-nonadecanone, N-formylmorpholine, 1-pentanol, m-xylene, and toluene publication-title: J Chem Eng Data doi: 10.1021/je00056a027 – volume: 224 start-page: 47 year: 2004 end-page: 54 ident: CR46 article-title: Measurement and correlation of vapor-liquid equilibria and excess enthalpies of binary systems containing ionic liquids and hydrocarbons publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2004.05.009 – volume: 54 start-page: 3480 year: 2015 end-page: 3487 ident: CR88 article-title: Extension of a group contribution method to estimate the critical properties of ionic liquids of high molecular mass publication-title: Ind Eng Chem Res doi: 10.1021/acs.iecr.5b00260 – volume: 134 start-page: 894 issue: 6 year: 2008 end-page: 898 ident: CR93 article-title: OCR prediction using support vector machine based on piezocone data publication-title: J Geotech Geoenviron Eng doi: 10.1061/(ASCE)1090-0241(2008)134:6(894) – start-page: 131 year: 1999 end-page: 135 ident: CR19 article-title: Ionic liquids: designer solvents publication-title: Symposium TIGP – year: 1999 ident: CR78 publication-title: The nature of statistical learning theory – volume: 50 start-page: 142 year: 2005 end-page: 148 ident: CR45 article-title: Thermodynamic properties of mixtures containing ionic liquids. activity coefficients of ethers and alcohols in 1-methyl-3-ethyl-imidazolium bis(trifluoromethyl-sulfonyl) imide using the transpiration method publication-title: J Chem Eng Data doi: 10.1021/je0497799 – volume: 1 start-page: 699 year: 2011 end-page: 709 ident: CR63 article-title: The COSMO and COSMO-RS solvation models publication-title: Wiley Interdiscip Rev Comput Mol Sci doi: 10.1002/wcms.56 – volume: 56 start-page: 124 year: 2011 end-page: 129 ident: CR39 article-title: Measurements of activity coefficients at infinite dilution for organic solutes and water in the ionic liquid 1-butyl-1-methylpiperidinium thiocyanate publication-title: J Chem Eng Data doi: 10.1021/je101008y – volume: 48 start-page: 475 year: 2003 end-page: 479 ident: CR56 article-title: Prediction of infinite dilution activity coefficients of organic compounds in ionic liquids using COSMO-RS publication-title: J Chem Eng Data doi: 10.1021/je025626e – volume: 41 start-page: 645 year: 2009 end-page: 650 ident: CR36 article-title: Measurements of activity coefficients at infinite dilution of aliphatic and aromatic hydrocarbons, alcohols, thiophene, tetrahydrofuran, MTBE, and water in ionic liquid [BMIM][SCN] using GLC publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2008.12.018 – year: 1998 ident: CR77 publication-title: Statistical learning theory – volume: 43 start-page: 22 year: 2011 ident: 4356_CR74 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2010.07.011 – volume: 108 start-page: 19451 year: 2004 ident: 4356_CR30 publication-title: J Phys Chem B doi: 10.1021/jp0477607 – volume: 68 start-page: 53 year: 2014 ident: 4356_CR40 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2013.08.030 – volume: 55 start-page: 891 year: 2010 ident: 4356_CR4 publication-title: J Chem Eng Data doi: 10.1021/je9005085 – volume: 87 start-page: 33 year: 2014 ident: 4356_CR20 publication-title: Biochem Eng J doi: 10.1016/j.bej.2014.03.010 – volume: 107 start-page: 10873 year: 2003 ident: 4356_CR29 publication-title: J Phys Chem B doi: 10.1021/jp034221d – volume: 294 start-page: 31 year: 2010 ident: 4356_CR55 publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2010.02.002 – volume: 19 start-page: 11835 year: 2017 ident: 4356_CR62 publication-title: Phys Chem Chem Phys doi: 10.1039/C7CP00226B – volume: 50 start-page: 142 year: 2005 ident: 4356_CR45 publication-title: J Chem Eng Data doi: 10.1021/je0497799 – volume: 115 start-page: 4500 year: 2003 ident: 4356_CR25 publication-title: Angew Chemie doi: 10.1002/ange.200351783 – volume: 56 start-page: 2039 issue: 5 year: 2011 ident: 4356_CR14 publication-title: J Chem Eng Data doi: 10.1021/je101040p – volume: 224 start-page: 47 year: 2004 ident: 4356_CR46 publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2004.05.009 – volume: 268 start-page: 74 year: 2008 ident: 4356_CR57 publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2008.04.009 – volume: 25 start-page: 183 year: 2008 ident: 4356_CR68 publication-title: Braz J Chem Eng doi: 10.1590/S0104-66322008000100019 – volume: 9 start-page: 293 year: 1999 ident: 4356_CR82 publication-title: Neural Process Lett doi: 10.1023/A:1018628609742 – volume: 51 start-page: 2170 year: 2006 ident: 4356_CR58 publication-title: J Chem Eng Data doi: 10.1021/je0602925 – volume: 27 start-page: 1141 year: 2015 ident: 4356_CR60 publication-title: J Nat Gas Sci Eng doi: 10.1016/j.jngse.2015.09.062 – volume: 66 start-page: 222 year: 2016 ident: 4356_CR61 publication-title: J Taiwan Inst Chem Eng doi: 10.1016/j.jtice.2016.06.027 – ident: 4356_CR50 doi: 10.1007/978-3-642-04070-2_100 – volume: 51 start-page: 7838 year: 2012 ident: 4356_CR87 publication-title: Ind Eng Chem Res doi: 10.1021/ie202934g – volume: 54 start-page: 366 year: 2012 ident: 4356_CR22 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2012.05.017 – volume: 114 start-page: 8460 year: 2010 ident: 4356_CR38 publication-title: J Phys Chem B doi: 10.1021/jp103496d – volume: 62 start-page: 69 year: 2013 ident: 4356_CR8 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2013.02.013 – volume: 30 start-page: 72 year: 2006 ident: 4356_CR15 publication-title: Pharm Technol – start-page: 281 volume-title: Advances in neural information processing systems year: 1997 ident: 4356_CR81 – ident: 4356_CR98 doi: 10.1002/0470870958 – volume: 44 start-page: 352 year: 2010 ident: 4356_CR1 publication-title: Water Res doi: 10.1016/j.watres.2009.09.030 – volume: 407 start-page: 117 year: 2015 ident: 4356_CR64 publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2015.07.007 – volume: 111 start-page: 11984 year: 2007 ident: 4356_CR32 publication-title: J Phys Chem B doi: 10.1021/jp075079+ – volume: 12 start-page: 584 year: 2018 ident: 4356_CR72 publication-title: Eng Appl Comput Fluid Mech doi: 10.1080/19942060.2018.1482476 – volume: 48 start-page: 99 year: 2009 ident: 4356_CR3 publication-title: J Supercrit Fluids doi: 10.1016/j.supflu.2008.10.012 – volume: 6 start-page: 347 year: 2008 ident: 4356_CR26 publication-title: Cent Eur J Chem doi: 10.2478/s11532-008-0034-3 – volume: 48 start-page: 475 year: 2003 ident: 4356_CR56 publication-title: J Chem Eng Data doi: 10.1021/je025626e – volume: 172 start-page: 43 year: 2000 ident: 4356_CR52 publication-title: Fluid Phase Equilib doi: 10.1016/S0378-3812(00)00357-5 – volume: 134 start-page: 894 issue: 6 year: 2008 ident: 4356_CR93 publication-title: J Geotech Geoenviron Eng doi: 10.1061/(ASCE)1090-0241(2008)134:6(894) – volume: 39 start-page: 2114 year: 2000 ident: 4356_CR44 publication-title: Ind Eng Chem Res doi: 10.1021/ie990830p – volume: 399 start-page: 394 year: 2011 ident: 4356_CR75 publication-title: J Hydrol doi: 10.1016/j.jhydrol.2011.01.017 – volume: 56 start-page: 1420 year: 2016 ident: 4356_CR41 publication-title: J Chem Inf Model doi: 10.1021/acs.jcim.6b00166 – volume: 14 start-page: 199 year: 2004 ident: 4356_CR92 publication-title: Stat Comput doi: 10.1023/B:STCO.0000035301.49549.88 – volume: 120 start-page: 15 year: 2017 ident: 4356_CR84 publication-title: Chem Eng Res Des doi: 10.1016/j.cherd.2016.12.020 – volume: 102 start-page: 5074 year: 1998 ident: 4356_CR53 publication-title: J Phys Chem A doi: 10.1021/jp980017s – volume: 55 start-page: 788 year: 2016 ident: 4356_CR42 publication-title: Ind Eng Chem Res doi: 10.1021/acs.iecr.5b04152 – ident: 4356_CR97 – volume: 57 start-page: 1525 year: 2012 ident: 4356_CR7 publication-title: J Chem Eng Data doi: 10.1021/je300044x – volume: 61 start-page: 191 year: 2012 ident: 4356_CR11 publication-title: J Supercrit Fluids doi: 10.1016/J.SUPFLU.2011.10.005 – volume: 43 start-page: 1050 year: 2011 ident: 4356_CR21 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2011.02.012 – volume: 624 start-page: 305 year: 2018 ident: 4356_CR71 publication-title: Adv Intell Syst Comput doi: 10.1007/978-981-10-5903-2_32 – volume: 27 start-page: 1346 year: 2008 ident: 4356_CR76 publication-title: QSAR Comb Sci doi: 10.1002/qsar.200860022 – volume: 88 start-page: 415 year: 2009 ident: 4356_CR83 publication-title: Chem Eng Res Des doi: 10.1016/j.cherd.2009.08.010 – volume: 2 start-page: 799 issue: 5 year: 1993 ident: 4356_CR54 publication-title: J Chem Soc doi: 10.1039/P29930000799 – volume-title: Statistical learning theory year: 1998 ident: 4356_CR77 – ident: 4356_CR96 – start-page: 131 volume-title: Symposium TIGP year: 1999 ident: 4356_CR19 – volume: 109 start-page: 12124 year: 2005 ident: 4356_CR6 publication-title: J Phys Chem B doi: 10.1021/jp058015c – volume: 261 start-page: 427 year: 2007 ident: 4356_CR16 publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2007.06.017 – volume-title: The nature of statistical learning theory year: 1995 ident: 4356_CR79 doi: 10.1007/978-1-4757-2440-0 – volume: 44 start-page: 5023 year: 2009 ident: 4356_CR80 publication-title: Eur J Med Chem doi: 10.1016/j.ejmech.2009.09.006 – volume: 26 start-page: 694 year: 2007 ident: 4356_CR66 publication-title: QSAR Comb Sci doi: 10.1002/qsar.200610151 – volume: 12 start-page: 438 year: 2018 ident: 4356_CR49 publication-title: Eng Appl Comput Fluid Mech doi: 10.1080/19942060.2018.1452296 – volume: 40 start-page: 1383 year: 2011 ident: 4356_CR2 publication-title: Chem Soc Rev doi: 10.1039/C004968A – volume: 320 start-page: 7 year: 2001 ident: 4356_CR24 publication-title: Inorg Chim Acta doi: 10.1016/S0020-1693(01)00477-7 – volume: 09 start-page: 257 year: 2018 ident: 4356_CR89 publication-title: Am J Anal Chem doi: 10.4236/ajac.2018.94020 – volume: 3 start-page: 244 year: 2012 ident: 4356_CR47 publication-title: Int J Chem Environ Eng – volume: 112 start-page: 11100 year: 2008 ident: 4356_CR35 publication-title: J Phys Chem B doi: 10.1021/jp804107y – volume: 42 start-page: 1361 year: 2010 ident: 4356_CR37 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2010.05.017 – volume: 114 start-page: 16542 year: 2010 ident: 4356_CR34 publication-title: J Phys Chem B doi: 10.1021/jp109469s – volume: 54 start-page: 3480 year: 2015 ident: 4356_CR88 publication-title: Ind Eng Chem Res doi: 10.1021/acs.iecr.5b00260 – volume: 529 start-page: 1788 year: 2015 ident: 4356_CR70 publication-title: J Hydrol doi: 10.1016/j.jhydrol.2015.08.008 – volume: 70 start-page: 239 year: 1991 ident: 4356_CR86 publication-title: Fluid Phase Equilib doi: 10.1016/0378-3812(91)85037-U – volume: 40 start-page: 860 year: 2008 ident: 4356_CR33 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2008.01.004 – volume: 34 start-page: 240 year: 1989 ident: 4356_CR43 publication-title: J Chem Eng Data doi: 10.1021/je00056a027 – volume: 11 start-page: 8790 year: 2009 ident: 4356_CR28 publication-title: Phys Chem Chem Phys doi: 10.1039/b905634c – volume: 54 start-page: 210 year: 2010 ident: 4356_CR12 publication-title: J Supercrit Fluids doi: 10.1016/j.supflu.2010.04.011 – volume-title: COSMO-RS: from quantum chemistry to fluid phase thermodynamics and drug design year: 2005 ident: 4356_CR51 – volume: 1 start-page: 699 year: 2011 ident: 4356_CR63 publication-title: Wiley Interdiscip Rev Comput Mol Sci doi: 10.1002/wcms.56 – volume: 12 start-page: 506 year: 2018 ident: 4356_CR73 publication-title: Eng Appl Comput Fluid Mech doi: 10.1080/19942060.2018.1463871 – volume: 41 start-page: 645 year: 2009 ident: 4356_CR36 publication-title: J Chem Thermodyn doi: 10.1016/j.jct.2008.12.018 – volume: 31 start-page: 149 year: 2017 ident: 4356_CR95 publication-title: Ecol Complex doi: 10.1016/j.ecocom.2017.06.008 – volume: 107 start-page: 2615 year: 2007 ident: 4356_CR10 publication-title: Chem Rev doi: 10.1021/cr050948h – volume: 56 start-page: 124 year: 2011 ident: 4356_CR39 publication-title: J Chem Eng Data doi: 10.1021/je101008y – volume: 67 start-page: 423 year: 2007 ident: 4356_CR17 publication-title: Ecotoxicol Environ Saf doi: 10.1016/j.ecoenv.2006.06.010 – volume: 22 start-page: 69 year: 2003 ident: 4356_CR67 publication-title: QSAR Comb Sci doi: 10.1002/qsar.200390007 – volume: 9 start-page: 281 issue: 9 year: 1996 ident: 4356_CR91 publication-title: Adv Neural Inf Process Syst – volume: 55 start-page: 5065 year: 2010 ident: 4356_CR9 publication-title: J Chem Eng Data doi: 10.1021/je100638g – volume: 3 start-page: 5192 year: 2001 ident: 4356_CR23 publication-title: Phys Chem Chem Phys doi: 10.1039/b106900d – volume: 11 start-page: 2079 year: 2010 ident: 4356_CR85 publication-title: J Mach Learn Res – volume: 31 start-page: 1429 year: 2007 ident: 4356_CR13 publication-title: New J Chem doi: 10.1039/b706677p – volume: 114 start-page: 4747 year: 2010 ident: 4356_CR27 publication-title: J Phys Chem B doi: 10.1021/jp1009498 – volume: 63 start-page: 4722 year: 2017 ident: 4356_CR48 publication-title: AIChE J doi: 10.1002/aic.15957 – volume: 17 start-page: 1048 year: 2012 ident: 4356_CR69 publication-title: Biotechnol Bioprocess Eng doi: 10.1007/s12257-012-0254-4 – volume: 32 start-page: 2033 year: 2008 ident: 4356_CR90 publication-title: Int J Numer Anal Methods Geomech doi: 10.1002/nag.731 – volume: 164 start-page: 182 year: 2009 ident: 4356_CR18 publication-title: J Hazard Mater doi: 10.1016/j.jhazmat.2008.08.022 – volume: 43 start-page: 1039 year: 2004 ident: 4356_CR65 publication-title: Ind Eng Chem Res doi: 10.1021/ie034152p – volume: 53 start-page: 12466 year: 2014 ident: 4356_CR59 publication-title: Ind Eng Chem Res doi: 10.1021/ie5021415 – volume: 111 start-page: 4812 year: 2007 ident: 4356_CR31 publication-title: J Phys Chem B doi: 10.1021/jp0671421 – volume-title: The nature of statistical learning theory year: 1999 ident: 4356_CR78 – volume: 39 start-page: 64 year: 2012 ident: 4356_CR94 publication-title: Comput Geosci doi: 10.1016/j.cageo.2011.06.011 – volume: 295 start-page: 177 year: 2010 ident: 4356_CR5 publication-title: Fluid Phase Equilib doi: 10.1016/j.fluid.2010.05.013
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Snippet	The activity coefficient at infinite dilution of water in ionic liquids is a thermodynamic property of a paramount importance in separation processes. However,...
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SubjectTerms	Activity coefficients Artificial Intelligence Artificial neural networks Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Correlation coefficients Data Mining and Knowledge Discovery Data points Dilution Graphical user interface Image Processing and Computer Vision Interpolation Ionic liquids Ions Learning theory Least squares Model accuracy Neural networks Original Article Probability and Statistics in Computer Science Regression analysis Sensitivity analysis Support vector machines
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Title	Modeling the activity coefficient at infinite dilution of water in ionic liquids using artificial neural networks and support vector machines
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