Block-structured adaptive mesh refinement (AMR) provides the basis for the temporal and
spatial discretization strategy for a number of Exascale Computing Project applications in …

The study of multiphase flow is essential for designing chemical reactors such as fluidized
bed reactors (FBR), as a detailed understanding of hydrodynamics is critical for optimizing …

We present a data-driven visual analysis approach for the in-depth exploration of large
numbers of droplets. Understanding droplet dynamics in sprays is of interest across many …

In the era of burgeoning data generation, managing and storing large-scale time-varying
datasets poses significant challenges. With the rise of supercomputing capabilities, the …

Recently, ensemble simulations have been frequently used in various scientific domains,
including cosmology, oceanography, and fluid dynamics. To model scientific phenomena …

The study of multiphase flow is essential for understanding the complex interactions of
various materials. In particular, when designing chemical reactors such as fluidized bed …

In situ analysis has emerged as a dominant paradigm for performing scalable visual
analysis of extreme-scale computational simulation data. Compared to the traditional post …

Large-scale HPC simulations with their inherent I/O bottleneck have made in situ an
essential approach for data analysis. In situ coupling of analysis and visualization to a live …