Literature DB >> 17492883

Effective interaction parameter of linear/star polymer blends and comparison with that of linear/linear and star/star blends.

P E Theodorakis1, A Avgeropoulos, J J Freire, M Kosmas, C Vlahos.   

Abstract

The authors present a detailed study of the microscopic parameters, which control the miscibility in binary linear/star polymer blends. The effective interactions of linear/star polymer blends are studied by means of Monte Carlo simulations and comparison is made with linear/linear and star/star blends, which they also determined. Using the bond fluctuation model on a simple cubic lattice, the authors are able to simulate symmetric linear/linear, star/star, and, for the first time, linear/star blends with a moderate number of arms. The simulations were performed at a volume fraction of occupied lattice sites phi=0.5, which corresponds to dense polymer mixtures for this algorithm. In particular, we study star/star blends with 4, 8, and 12 arms and the respective linear/linear blends as well as linear/star blends, all having the same total number of units equal to 73 and 121. The authors find that linear/star blends are more miscible than the corresponding linear/linear blends, which is in agreement with recent experimental and theoretical results. They find that linear/star mixtures are less miscible than star/star blends, a result which is also verified by theoretical findings.

Entities:  

Year:  2007        PMID: 17492883     DOI: 10.1063/1.2731786

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  2 in total

1.  Confined Pattern-Directed Assembly of Polymer-Grafted Nanoparticles in a Phase Separating Blend with a Homopolymer Matrix.

Authors:  Ren Zhang; Bongjoon Lee; Michael R Bockstaller; Jack F Douglas; Christopher M Stafford; Sanat K Kumar; Dharmaraj Raghavan; Alamgir Karim
Journal:  Macromolecules       Date:  2016-05-12       Impact factor: 5.985

2.  Monte Carlo studies of two-dimensional polymer-solvent systems.

Authors:  Piotr Polanowski; Jeremiasz K Jeszka; Andrzej Sikorski
Journal:  J Mol Model       Date:  2017-02-09       Impact factor: 1.810

  2 in total

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