Its direct extension the FENE-P model, is more commonly used in computational fluid dynamics to simulate turbulent flow.
The P stands for the last name of physicist Anton Peterlin, who developed an important approximation of the model in 1966.
The Werner's spring force approximate the inverse Langevin function found in other models.
[2] FENE-P is one of few polymer models that can be used in computational fluid dynamics simulations since it removes the need of statistical averaging at each grid point at any instant in time.
It is demonstrated to be able to capture some of the most important polymeric flow behaviors such as polymer turbulence drag reduction and shear thinning.
Due to its simplifications FENE-P is not able to show the hysteresis effects that polymers have, while the FENE model can.