Their inclusion in modelling this system will be computationally expensive.
Marketed by AdSAM Emotional Response Modeling, this system was developed over six years by Dr. Jon Morris, a professor at the University of Florida in Gainesville.
However, it is challenging to directly model this system due to the vast differences in length scale between supramolecular nanofibers and the macroscopic tube.
The process of modelling this system will elucidate the algorithm which is applicable to higher order systems.
Thus, a bi-dimensional birth and death process is required for modeling this system.
We have used time automata framework to model this system by extracting real time constraints from this safety critical system.
We modeled this system as four tubular reactors in series allowing the enzyme concentration to vary in each compartment.
Obviously, as with any model, this system has its limitations.
Anyone who intends to model this system will look at existing models to adapt, refine and improve them.
These numbers indeed explain why the Debye- Huckel treatment is a reasonable starting point for modeling this system.
