We survey the field of micro-macro numerical techniques for predicting complex flows of
viscoelastic fluids. The micro-macro approach couples the mesoscopic scale of kinetic …

In this paper a new method based on neural network has been developed for obtaining the
solution of the Stokes problem. We transform the mixed Stokes problem into three …

Active Contour (AC)-based segmentation has been widely used to solve many image
processing problems, specially image segmentation. While these AC-based methods offer …

Les méthodes traditionnelles de prédiction des tassements de fondations superficielles sur
des sols pulvérulents sont loin d'être précises et consistantes. Ceci peut être attribué au fait …

A non-overlapping domain decomposition-based parallel algorithm coupled with a compact
local integrated radial basis function (CLIRBF) method is developed for solving Navier …

A numerical computation of continuum-microscopic model for visco-elastic flows based on
the Integrated Radial Basis Function (IRBF) Control Volume and the Stochastic Simulation …

The computation of viscoelastic flow using neural networks and stochastic simulation
(CVFNNSS) is developed from the point of view of Eulerian CONNFFESSIT (calculation of …

Polymer melts are viscoelastic fluids and extremely complex fluids due to the existence of
very high density of polymer molecules. Polymer melt rheology aims to understand and …

A technique for numerical analysis of the dynamics of the ring-spinning balloon based on
radial basis function networks (RBFNs) is presented in this paper. This method uses a …

In this paper, dynamic behaviours of dilute polymer solutions of various bead-spring chain
models in shear flow are studied using a coarse-grained method based on the Integrated …