2015
DOI: 10.1016/j.memsci.2015.01.012
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Prediction of gas permeability coefficients of copolyimides by group contribution methods

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Cited by 16 publications
(15 citation statements)
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“…The dual mode sorption model parameters of CO 2 in glassy polymers were predicted by Saberi et al [47] using a group contribution technique. The group contribution approach is a method for determining the principles that regulate the link between polymer transport and thermophysical properties based on the structure of the polymer [48]. A total of 37 structural units were examined using 82 different polymers, and dual mode sorption values for CO 2 sorption were calculated for each group by the authors.…”
Section: Different Sorption Modelsmentioning
confidence: 99%
“…The dual mode sorption model parameters of CO 2 in glassy polymers were predicted by Saberi et al [47] using a group contribution technique. The group contribution approach is a method for determining the principles that regulate the link between polymer transport and thermophysical properties based on the structure of the polymer [48]. A total of 37 structural units were examined using 82 different polymers, and dual mode sorption values for CO 2 sorption were calculated for each group by the authors.…”
Section: Different Sorption Modelsmentioning
confidence: 99%
“…The dual mode sorption model parameters of CO2 in glassy polymers were predicted by Saberi et al [38] using a group contribution technique. The group contribution approach is a method for determining the principles that regulate the link between polymer transport and thermophysical properties based on the structure of the polymer [39]. 37 structural units were examined using 82 different polymers, and dual mode sorption values for CO2 sorption were calculated for each group by the authors.…”
Section: Sorption In Glassy Polymersmentioning
confidence: 99%
“…The extensive information accumulated to date on the transport parameters of polymers with different chemical structures of the elementary unit [ 15 , 16 ], allows one to not only search for empirical relationships between the chemical structure of the elementary unit with the transport characteristics of polymers [ 7 , 8 , 13 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ], but also to predict transport parameters from the chemical structure of the elementary unit [ 29 ]. Such predictions are possible both by the group contribution methods [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ], but also by using elements of the graph theory [ 29 , 40 , 41 , 42 ] and geometrical indices [ 43 , 44 ], as well as by using neural networks [ 29 , 45 , 46 ] or computer modeling [ 29 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ,…”
Section: Introductionmentioning
confidence: 99%