The mission of the Center for Data-Driven Computational Physics is to usher in the future of large-scale, data-driven modeling of multi-scale physical systems. The phenomena of interest range from turbulent flows and cardiovascular flow modeling, through materials physics to climate science and the large-scale structure of the universe. They exhibit emergent behavior that can only be understood and predicted by accounting for the underlying complexity.
We focus on data-driven solutions to these problems using high performance computing clusters. However, the interaction of high performance computing for physics with large-scale data is itself a challenging problem, meriting new hardware configurations, software, and computational methods.