Simulation of heterogeneous end-coupling reactions in polydisperse polymer blends

2011 ◽  
Vol 135 (20) ◽  
pp. 204904 ◽  
Author(s):  
Daria V. Guseva ◽  
Yaroslav V. Kudryavtsev ◽  
Anatoly V. Berezkin
Keyword(s):  
Polymer Blends ◽  
Coupling Reactions ◽  
Polydisperse Polymer

Statistical thermodynamics of polydisperse polymer blends with strong interaction

1993 ◽  
Vol 2 (2) ◽  
pp. 263-268
Author(s):  
Lijia An ◽  
Rongtang Ma ◽  
Xichun Kou ◽  
Xinyi Tang ◽  
Bingzheng Jiang
Keyword(s):  
Polymer Blends ◽  
Strong Interaction ◽  
Statistical Thermodynamics ◽  
Polydisperse Polymer

scholarly journals Shear induced demixing in bidisperse and polydisperse polymer blends: Predictions from a multifluid model

2020 ◽  
Vol 64 (6) ◽  
pp. 1391-1408
Author(s):  
Joseph D. Peterson ◽  
Glenn H. Fredrickson ◽  
L. Gary Leal
Keyword(s):  
Polymer Blends ◽  
Polydisperse Polymer

The Early Stages of the Phase Separation Dynamics in Polydisperse Polymer Blends

1994 ◽  
Vol 27 (15) ◽  
pp. 4231-4241 ◽  
Author(s):  
C. Huang ◽  
M. Olvera de la Cruz
Keyword(s):  
Phase Separation ◽  
Polymer Blends ◽  
Early Stages ◽  
Polydisperse Polymer

Integration of Core-Edge Spectroscopy Methods for the Study of Polymers

1996 ◽  
Vol 54 ◽  
pp. 154-155
Author(s):  
E. G. Rightor
Keyword(s):  
Excited State ◽  
Polymer Blends ◽  
Gas Phase ◽  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Electronic States ◽  
Core Electron ◽  
Bulk Solids ◽  
Development Application

Core edge spectroscopy methods are versatile tools for investigating a wide variety of materials. They can be used to probe the electronic states of materials in bulk solids, on surfaces, or in the gas phase. This family of methods involves promoting an inner shell (core) electron to an excited state and recording either the primary excitation or secondary decay of the excited state. The techniques are complimentary and have different strengths and limitations for studying challenging aspects of materials. The need to identify components in polymers or polymer blends at high spatial resolution has driven development, application, and integration of results from several of these methods.

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