Collisions between neutron stars involve some of the most extreme physics in the Universe. The intense effects of vast matter density and magnetic fields make them computation-hungry to simulate. A team from the National Center for Supercomputing Applications (NCSA) used artificial intelligence on the advanced graphics-processing-unit (GPU) nodes of the XSEDE-allocated supercomputers Bridges at the Pittsburgh Supercomputing Center (PSC) as well as Stampede2 at the Texas Advanced Computing Center (TACC) to obtain a correction factor that will allow much faster, less detailed simulations to produce accurate predictions of these mergers.