Session

DescriptionData visualization is a powerful means of exploring data and communicating complex information to diverse audiences, both expert and non-expert. Although widely used by scientists and researchers, it often remains confined to self-exploration and peer communication within specialized fields. Moreover, the use of data visualization for communication purposes is often overlooked. However, advanced visualization tools and techniques can be leveraged across disciplines to disseminate scientific knowledge, reaching other researchers, stakeholders, and the broader public more effectively. The use of advanced visualization tools (such as VTK and Paraview, ViSIT, or Blender) and render engines (such as NVIDIA’s Barney and Blender Cycles), and the application of information visualization techniques can improve the quality of scientific visualizations. This minisymposium addresses this topic by presenting different visualization workflows aimed towards the production of impactful visuals from scientific data, in particular HPC simulation data. The four sessions span a wide range of scientific applications in order to show how common workflows might work independently of specific domains, and can address general visualization challenges applicable across domains: Cosmological simulations, CFD, geophysics, and the visualization of ML-based analysis.