Literature DB >> 16238425

Combining configurational entropy and self-concentration to describe the component dynamics in miscible polymer blends.

D Cangialosi1, G A Schwartz, A Alegría, J Colmenero.   

Abstract

We provide a new approach to describe the component segmental dynamics of miscible polymer blends combining the concept of chain connectivity, expressed in terms of the self-concentration, and the Adam-Gibbs model. The results show an excellent agreement between the prediction of our approach and the experimental data. The self-concentrations obtained yield length scales between 1 and 3.2 nm depending on the temperature, the flexibility of the polymer, expressed in terms of the Kuhn segment, and its concentration in the blends, at temperatures above the glass transition range of the blend.

Entities:  

Year:  2005        PMID: 16238425     DOI: 10.1063/1.2052592

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


  1 in total

1.  Approaching Polymer Dynamics Combining Artificial Neural Networks and Elastically Collective Nonlinear Langevin Equation.

Authors:  Luis A Miccio; Claudia Borredon; Ulises Casado; Anh D Phan; Gustavo A Schwartz
Journal:  Polymers (Basel)       Date:  2022-04-12       Impact factor: 4.967

  1 in total

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