Premium
Chemical composition distribution of multicomponent copolymer chains
Author(s) -
Anantawaraskul Siripon,
Soares João B.P.,
WoodAdams Paula M.
Publication year - 2004
Publication title -
macromolecular symposia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 76
eISSN - 1521-3900
pISSN - 1022-1360
DOI - 10.1002/masy.200450206
Subject(s) - copolymer , monte carlo method , binary number , monomer , materials science , chemical composition , sequence (biology) , distribution (mathematics) , composition (language) , polymer chemistry , statistical physics , thermodynamics , polymer science , polymer , chemistry , physics , mathematics , statistics , composite material , mathematical analysis , biochemistry , arithmetic , linguistics , philosophy
Probability theory was used to model the microstructure of copolymer chains. Specifically, we derived analytical expressions to describe the chemical composition distribution of multicomponent random copolymers and the longest monomer sequence length distribution of binary copolymers. The results agree with Stockmayer's distribution for binary copolymers and with Monte Carlo simulations for multicomponent copolymers.