Computational fluid dynamics is an exciting research field that utilizes the ever growing computational power that is spear headed by the silicon industry. Whenever applicable, researchers use CFD to help analyze how fluid would behave in order to better understand the heavily non-linear phenomena associated with the field of fluids.
The traditional way of CFD requires one fundamental step in girding (meshing) the whole computational domain, and associate all the nodes (or cells) with indices so the governing equation can be appropriately applied to calculate the dynamics. But a mesh-less method would by pass this computationally expensive and cumbersome step by applying field Radial Basis Functions (RBF) to find the correct weighting that complies with the dynamic and kinematic constraints for the field. The result is a fast and accurate method in comparison to the traditional CFD techniques.