91 citations · 355 across the 14 of their papers we have counts for
3 papers · 1 filter
WENO-Wombat: Scalable Fifth-Order Constrained-Transport Magnetohydrodynamics for Astrophysical Applications
J. M. F. Donnert, H. Jang, P. Mendygral +3
Due to increase in computing power, high-order Eulerian schemes will likely become instrumental for the simulations of turbulence and magnetic field amplification in astrophysical…
Towards Exascale Simulations of the ICM Dynamo with WENO-Wombat
J. Donnert, H. Jang, P. Mendygral +3
In galaxy clusters, modern radio interferometers observe non-thermal radio sources with unprecedented spatial and spectral resolution. For the first time, the new data allows to in…
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Amrita Mathuriya, Deborah Bard, Peter Mendygral +14
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow:…