2 papers
cs.RO2026
Caspar: CUDA Accelerator for Symbolic Programming with Adaptive Reordering
Emil Martens, Aaron Miller, Matias Varnum +1
We present Caspar, a library that makes the power of modern GPUs more accessible in robotics and provides a state-of-the-art nonlinear GPU solver that can be applied to a wide rang…
physics.flu-dyn2026
Structure tensor Reynolds-averaged Navier-Stokes turbulence models with equivariant neural networks
Aaron Miller, Sahil Kommalapati, Robert Moser +1
Accurate and generalizable Reynolds-averaged Navier-Stokes (RANS) models for turbulent flows rely on effective closures, but currently available closures are notoriously unreliable…