title: Size and persistence length of molecular bottle-brushes by Monte Carlo simulations.
abstract: Single-chain simulations of densely branched comb polymers, or "molecular bottle-brushes" with side-chains attached to every (or every second) backbone monomer, were carried out by off-lattice Monte Carlo technique. A coarse-grained model, described by hard spheres connected by harmonic springs, was employed. Backbone lengths of up to 100 units were considered, and compared with the corresponding linear chains. The backbone molecular size was investigated as a function of its length at fixed arm size, and as a function of the arm size at fixed backbone length. The apparent swelling exponents obtained by a power-law fit were found to be larger than those for the corresponding linear polymers, indicative of stiffening of the comb backbone. The probability distribution function for the backbone end-to-end distance was also investigated for different backbone lengths and arm sizes. Analysis of this function yielded the critical exponents, which revealed an increase in the swelling exponent consistent with values found from the molecular size. The apparent persistence length of the backbone was also determined, and was found to increase with increasing branching density. Finally, the static structure factors of the whole bottle-brushes and of their backbones are discussed, which provides another consistent estimate of the swelling exponents.
authors.affiliation: Dipartimento di Chimica, Materiali e Ingegneria Chimica "G. Natta", Sez. Chimica, Politecnico di Milano, via L. Mancinelli 7, 20131 Milano, Italy.
authors.forename: Stefano
authors.initials: S
authors.lastname: Elli
authors.forename: Fabio
authors.initials: F
authors.lastname: Ganazzoli
authors.forename: Edward G
authors.initials: EG
authors.lastname: Timoshenko
authors.forename: Yuri A
authors.initials: YA
authors.lastname: Kuznetsov
authors.forename: Ronan
authors.initials: R
authors.lastname: Connolly
mesh_terms: D003198:Computer Simulation; D008954:Models, Biological; D009010:Monte Carlo Method; D010316:Particle Size; D011108:Polymers / Q000737:chemistry*; D011336:Probability
chemical_list: D011108:Polymers