Krone, MichaelHuber, MarkusScharnowski, KatrinHirschler, ManuelKauker, DanielReina, GuidoNieken, UlrichWeiskopf, DanielErtl, ThomasN. Elmqvist and M. Hlawitschka and J. Kennedy2014-12-162014-12-162014978-3-905674-69-9https://doi.org/10.2312/eurovisshort.20141166We present a GPU-accelerated visualization application that employs methods from computer graphics and visualizationto analyze SPH simulations from the field of material science. To this end, we extract the isosurfacethat separates the stable phases in a fluid mixture via the kernel function that was used by the simulation. Ourapplication enables the analysis of the separation process using interactive 3D renderings of the data and an additionalline chart that shows the computed surface area over time. This also allows us to validate the correctnessof the simulation method, since the surface area can be compared to the power law that describes the change inarea over time. Furthermore, we compare the isosurface that is based on the simulation kernel with an establishedmethod to extract smooth high-quality SPH surfaces. The comparison focuses on demonstrating the applicabilityfor data analysis in the context of material science, which is based on the resulting surface area and how wellthe two phases are separated with respect to the original particles. The evaluation was carried out together withexperts in material science.I.3.5 [Computer Graphics]Computational Geometryand Object ModelingBoundary representationsJ.2 [Computer Applications]Physical Sciences andEngineeringChemistry