Group contribution model for determination of molecular diffusivity of non-electrolyte organic compounds in air at ambient conditions

Chemical Engineering Science

Volumn 68, Issue 1, 2012, Pages 290-304

  Gharagheizi, Farhad ^a   Eslamimanesh, Ali ^b   Mohammadi, Amir H ^b,c   Richon, Dominique ^b  

^a Saman Energy Giti Co   (Iran)

^b PSL RESEARCH UNIVERSITY   (France)

^c UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Accurate model; Air; Artificial Neural Network; Diffusion coefficient; Group contribution; Outliers

Indexed keywords

AMBIENT CONDITIONS; ARTIFICIAL NEURAL NETWORK; AVERAGE ABSOLUTE DEVIATION; CHEMICAL FAMILY; DIFFUSION COEFFICIENTS; EXPERIMENTAL VALUES; GROUP CONTRIBUTION MODEL; GROUP CONTRIBUTIONS; MOLECULAR DIFFUSIVITY; OUTLIERS; PREDICTIVE MODELS; PURE COMPOUNDS; SQUARED CORRELATION COEFFICIENTS; STANDARD DEVIATION;

AIR; ATMOSPHERIC PRESSURE; CHEMICAL COMPOUNDS; DIFFUSION; NEURAL NETWORKS;

AIR POLLUTION CONTROL;

EID: 81055156749     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2011.09.035     Document Type: Article

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