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Petri nets are used to model these systems.
The current work demonstrates how to capture more complexity and model these systems with a finite difference simulator.
It collects a number of previously published methods in a fully integrated approach to measure and model these systems from experimental data.
There is a clear need to model these systems given the crucial role they play in water supply in many countries.
The rotational symmetry of the disc in these kind of applications makes it possible to model these systems using an Eulerian approach instead of a Lagrangian framework.
The current work demonstrates how to model these systems with a smaller grid block size which allows you to apply sensitivity to the fracture length and model the fracture with enhanced accuracy.
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Modeling these systems gives rise to many different scales both in space and in time.
An electrical circuit that models these systems is presented and conclusions are drawn.
Modeling these systems normally need integrating several domain-specific tools such as UML, Simulink.
The relatively flat energy landscapes associated with intrinsically disordered proteins makes modeling these systems especially problematic.
Some simplifying methods for modelling these systems, that are trying to capture the distributed system dynamics through lumped parameter models, are used.
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