Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.

Events on January 17, 2018

Visualization Seminar

Dr. Spencer Sherwin , Department of Aeronautics, Imperial College London Presents:

Spectral/hp element, scale resolving modeling for high Reynolds number motorsport flow simulations

January 17, 2018 at 12:00pm for 1hr
Evans Conference Room, WEB 3780
Warnock Engineering Building, 3rd floor.

Dr. Spencer Sherwin is the McLaren Racing/Royal Academy of Engineering Research Chair in the Department of Aeronautics at Imperial College London. He received his MSE and PhD from the Department of Mechanical and Aerospace Engineering Department at Princeton University. Prior to this he received his BEng from the Department of Aeronautics at Imperial College London.


The use of computational tools in industrial flow simulations is well established. As engineering design continues to evolve and become ever more complex there is an increasing demand for more accurate transient flow simulations. It can, using existing methods, be extremely costly in computational terms to achieve sufficient accuracy in these simulations. Accordingly, advanced engineering industries, such as the Formula One (F1) industry, are looking to academia to develop the next generation of techniques which may provide a mechanism for more accurate simulations without excessive increases in cost. 

This demand for modelling of accurate flow physics around complex geometries are therefore making high order methods such as spectral/hp type discretisations more attractive to industry. Nevertheless a number of challenges still exist in translating academic tools into engineering practice. As the start of the pipeline, meshing techniques for high order methods are required to handle highly complex geometries. Next many engineering problems require high Reynolds numbers leading to turbulent flow that typically are only marginally resolved. Therefore, there is a need for greater robustness in marginally resolved conditions where aliasing errors and high frequency damping are typically required. Finally maintaining computational efficiency is also obviously important.   

In this presentation we will outline the demands imposed on computational aerodynamics within the highly competitive F1 sector and discuss the numerical challenges which have had to be overcome to translate academic tools into this environment.

Posted by: Tushar Athawale