This $259,995 federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of an open-source, GPU-enabled computational code for modeling the physics of compact object mergers, such as binary neutron star and black hole-neutron star collisions. The code will leverage advanced neutrino transport models and high-performance GPU computing to enable more accurate and scalable simulations of these energetic astrophysical events. The project, awarded to Long Island University, aims to advance multi-messenger astrophysics by providing a state-of-the-art, publicly available tool for the research community to study gravitational wave observations, nuclear physics, and the origins of heavy elements. The four-year award period runs from August 1, 2024, to July 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $195.0k | 8/28/24 | ||
| Not listed | $65.0k | 7/18/24 |