Group Interaction Modelling

Porter D (1995) Group interaction modeling of polymer properties. Marcel Dekker, New York... 

Porter, D. Group Interaction Modelling of Polymer Properties. Marcel Dekker, Inc. New York, 1995. 

Ngai KL, Rendell RW, Yee AF, Plazek DJ, Macromolecules, 24, 61-67 (1996). Porter D, Group Interaction Modelling of Polymer Properties, Marcel Dekker, New York, 1995. 

The work of Gumen et al [142] holds the promise of developing a predictive approach that can account for the details of the molecular architecture and the curing chemistry. These authors extended the group interaction modeling method of Porter [37], which provides... 

Porter [212] applied his group interaction modeling approach to both the nonlinear strain and the long-term mechanical properties of polymers. He showed that both problems can be explained qualitatively by his concept of discrete energy levels in a polymer. His key argument is that a fraction of rubberlike states coexists with the predominantly glassy state of a polymer below Tg is a function of the temperature, time and mechanical energy of deformation and... 

There are a number of models which can be used to predict the effect that absorbed diluents, in particular water, have on a cured polymeric resin. One of the most powerful of these is Group Interaction Modelling (GIM), a continuum-type model with a set of versatile input parameters based on the number and type of chemical functional groups present in the network. This allows the complex chemistty of amine-cured epoxy resins to be catered for whilst retaining the speed afforded by using a set of linked constitutive equations of state for property prediction. 

Mazurek, M. Leir, C. M. Galkiewicz, R. K., Telechelic SUoxanes with Hydrogen-Bonded Polymerizable End Groups. II. IR Studies of End-Groups Interactions— Model Amides and Ureas. J. Appl. Polym. Sci. 2010,117,982-995. 

Other recently published correlative methods for predicting Tg include the group interaction modeling (GIM) approach of Porter (42), neural networks (43-45), genetic function algorithms (46), the CODESSA (acronym for Comprehensive Descriptors for Structural and Statistical Analysis ) method (47), the energy, volume, mass (EVM) approach (48,49), correlation to the results of semiempirical quantum mechanical calculations of the electronic structure of the monomer (50), and a method that combines a thermodynamic equation-of-state based on lattice fluid theory with group contributions (51). 

Group interaction models have achieved remarkable success in the description of activity coefficients of nonelectrolyte solutions. Notable in this development are the pioneering work by Pierotti, Deal and Derr (] ), Wilson and Deal ( ), and subsequent contributions by Scheller ( 3), Ratcliff and Chao W, Derr and Deal ( 5), and Fredenslund, Jones, and Prausnitz ( ). 

Nitta et. al. ( 7) extended the group interaction model to thermodynamic properties of pure polar and non-polar liquids and their solutions, including energy of vaporization, pvT relations, excess properties and activity coefficients. The model is based on the cell theory with a cell partition function derived from the Carnahan-Starling equation of state for hard spheres. The lattice energy is made up of group interaction contributions. 

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