The concept of generating functions is useful to obtain the distribution and averages of the degree of polymerization in the course of polymerization reactions and polycondensation reactions. Most of the material described in the literature deals with branched systems. In these systems classical statistical methods often run against walls and only advanced methods like the application of generating functions will be successful. On the other hand in less complicated cases the use of generating functions will prove advantages over the classical methods, papers on this topic are missing however, even in introductory texts. In this paper several simple examples illustrating the application of the method of generating functions have been worked ...
This is the second of two works presenting a new mathematical method for modeling bivariate distribu...
Step-growth polymerized systems of general type “AfiBgi” are considered. One or more of the monomer ...
The 2D probability generating function technique is a powerfulmethod for modeling bivariate distribu...
This study considers step-growth polymerizing systems of general type “AfiBgi” whereby one or more o...
Generating functions are suitable mathematical apparatus to describe the distribution of random vari...
This study considers step-growth polymerizing systems of general type “AfiBgi” whereby one or more o...
A mathematical model of RAFT polymerization processes is presented capable of predicting the full mo...
Recent developments of a method based upon population balances of generating functions of polymer ch...
General step-growth polymerization systems of order 2 are considered, i.e. systems of type "AfiBgi"....
The application of numerical methods for the calculation of the molecular weight distribution of liv...
In this work, a model for the RAFT polymerization following the slow fragmentation approach was deve...
The random sampling technique is a powerful Markovian method that can be applied to any types of non...
We develop a mathematical model able to describe the complete molecular weight distributions of poly...
A fast method is presented for the calculation of the MSD and the MWD of polymers obtained via step-...
High-fidelity models of polymer processes should include the prediction of distributions of polymer ...
This is the second of two works presenting a new mathematical method for modeling bivariate distribu...
Step-growth polymerized systems of general type “AfiBgi” are considered. One or more of the monomer ...
The 2D probability generating function technique is a powerfulmethod for modeling bivariate distribu...
This study considers step-growth polymerizing systems of general type “AfiBgi” whereby one or more o...
Generating functions are suitable mathematical apparatus to describe the distribution of random vari...
This study considers step-growth polymerizing systems of general type “AfiBgi” whereby one or more o...
A mathematical model of RAFT polymerization processes is presented capable of predicting the full mo...
Recent developments of a method based upon population balances of generating functions of polymer ch...
General step-growth polymerization systems of order 2 are considered, i.e. systems of type "AfiBgi"....
The application of numerical methods for the calculation of the molecular weight distribution of liv...
In this work, a model for the RAFT polymerization following the slow fragmentation approach was deve...
The random sampling technique is a powerful Markovian method that can be applied to any types of non...
We develop a mathematical model able to describe the complete molecular weight distributions of poly...
A fast method is presented for the calculation of the MSD and the MWD of polymers obtained via step-...
High-fidelity models of polymer processes should include the prediction of distributions of polymer ...
This is the second of two works presenting a new mathematical method for modeling bivariate distribu...
Step-growth polymerized systems of general type “AfiBgi” are considered. One or more of the monomer ...
The 2D probability generating function technique is a powerfulmethod for modeling bivariate distribu...