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Macromol. React. Eng. 9‐10/2010
Author(s) -
Leon Florin,
Piuleac Ciprian George,
Curteanu Silvia
Publication year - 2010
Publication title -
macromolecular reaction engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 32
eISSN - 1862-8338
pISSN - 1862-832X
DOI - 10.1002/mren.201090013
Subject(s) - swelling , yield (engineering) , polymer science , cover (algebra) , polyacrylamide , polymer , materials science , variety (cybernetics) , computer science , polymer chemistry , biological system , chemical engineering , composite material , artificial intelligence , engineering , mechanical engineering , biology
Cover: Individual or stacked neural networks are used to model the yield and swelling degree as a function of a variety of conditions, including the amount of inclusion polymer, reaction time for the synthesis, and swelling behavior of semi‐ and interpenetrated multicomponent crosslinked structures based on polyacrylamide. This modeling methodology provides accurate results, useful for experimental practice. Further details can be found in the full paper by F. Leon, C. G. Piuleac, and S. Curteanu * on page 591 .