556 citations · 8.8k across the 104 of their papers we have counts for
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Machine Learning for Conservative-to-Primitive in Relativistic Hydrodynamics
Tobias Dieselhorst, William Cook, Sebastiano Bernuzzi +1
The numerical solution of relativistic hydrodynamics equations in conservative form requires root-finding algorithms that invert the conservative-to-primitive variables map. These…
Fornax: a Flexible Code for Multiphysics Astrophysical Simulations
M. Aaron Skinner, Joshua C. Dolence, Adam Burrows +2
This paper describes the design and implementation of our new multi-group, multi-dimensional radiation hydrodynamics (RHD) code Fornax and provides a suite of code tests to validat…
THC: a new high-order finite-difference high-resolution shock-capturing code for special-relativistic hydrodynamics
David Radice, Luciano Rezzolla
We present THC: a new high-order flux-vector-splitting code for Newtonian and special-relativistic hydrodynamics designed for direct numerical simulations of turbulent flows. Our c…