The COVID-19 pandemic forced performing arts groups to cancel shows and entire seasons
due to safety concerns for the audience and performers. It is unclear to what extent aerosols …

Unmanned Aerial Vehicles (UAVs) are a popular platform for air quality measurements. For
vertical measurements, rotary-wing UAVs are particularly well-suited. However, an important …

We propose a new framework for the design of fast-projection solvers for the Navier-Stokes
equations using Runge-Kutta integrators. The framework uses the full nonlinear equations …

Reduced-order models (ROMs) are commonly employed to address the large computational
cost of simulations for high-dimensional, dynamical systems such as those found in …

We derive three-dimensional stable timestep formulas for high-order explicit time integration
of the advection–diffusion equation. The proposed formulas cover explicit first, second, third …

The challenge of running complex physics code on the largest computers available has led
to dataflow paradigms being explored. While such approaches are often applied at smaller …

The Uintah computational framework is used for the parallel solution of partial differential
equations on adaptive mesh refinement grids using modern supercomputers. Uintah is …

Particle data are used across a diverse set of large scale simulations, for example, in
cosmology, molecular dynamics and combustion. At scale these applications generate …

Asynchronous many-task (AMT) runtimes are maturing as a model for computing simulations
on a diverse range of architectures at large-scale. The Uintah AMT framework is driven by a …

Drones have become an important tool in many fields of research. For applications such as
air quality monitoring, it is important to understand how the airflow produced by the rotors …