Project Grant DESC0024700

This Project Grant awarded by the National Science Foundation (NSF) Division of Physics, CFDA 47.049 Mathematical and Physical Sciences, provides $299,690 from August 1, 2024 through July 31, 2027 to Texas A&M University for research to improve understanding of the properties of quark-gluon plasma, a state of matter created in nuclear collisions at high energies. The key products and services to be delivered include: Systematic improvements to the modeling of hadronization, the process by...

This Project Grant award of $600,000.00 from the National Science Foundation (NSF) Division of Physics supports research by Michigan State University to develop new theoretical techniques for predicting the behavior of extended nuclear matter under a wide range of conditions, such as those found in the interiors of stars. The project aims to generalize techniques previously used to describe properties of atomic nuclei at zero temperature to the problem of extended nuclear matter at finite...

This $450,000 project grant from the National Science Foundation (NSF) Division of Physics will fund the development of machine learning-augmented density functional theory (DFT) tools to enable faster and more accurate quantum simulations of warm dense plasmas. Under the Mathematical and Physical Sciences program (CFDA 47.049), the University of Rochester will receive funding from August 15, 2022 to July 31, 2025. The project aims to advance finite-temperature exchange-correlation functionals...

This $449,995 five-year Project Grant awarded by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (MPS) Federal Grant Program (CFDA 47.049) will support fundamental and applied research at Ohio University. The project aims to leverage advances in nuclear theory, many-body methods, and high-performance computing to develop improved microscopic models of hot and dense nuclear matter with quantified theoretical uncertainties. This research will enable rigorous...

This $150,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) funds Professor Daniel Boyanovsky's research at the University of Pittsburgh on fundamental non-equilibrium aspects of dark matter and its potential existence in novel materials. The project aims to advance theoretical frameworks for understanding dark matter and dark energy, which account for 95% of the universe's energy and matter content, through the...

The National Science Foundation awarded a $120,000 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to The Research Foundation For The State University Of New York, operating as State University College, a non-profit organization. This funding supports research activities led by Professor Matthew Lippert at SUNY Old Westbury over the 3-year period from August 2023 to July 2026. The research funded by this grant uses string theory models and gauge/gravity duality...

This $135,000 Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) funds research at the University of New Mexico to probe early cosmological history using dark matter. Professor Rouzbeh Allahverdi will build new particle physics models of dark matter, study dark matter production in alternative thermal histories before one second after the Big Bang, and investigate novel predictions from different production mechanisms testable in...

This $600,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Mathematical and Physical Sciences (CFDA 47.049) program. The award will support research led by the principal investigator (PI) at Rutgers, The State University to investigate the properties of the quark-gluon plasma (QGP) - a unique state of matter predicted by quantum chromodynamics. The key research objectives are to: Measure jet observables in heavy-ion collisions at the Large Hadron...

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...

This National Science Foundation (NSF) Division of Physics Project Grant award of $340,000 supports collaborative research between Columbia University and the University of Wisconsin-Madison to advance the understanding of microscale plasma processes in shock and turbulent environments. The project aims to develop physics-based models of kinetic, non-equilibrium processes in astrophysical plasmas, focusing on particle heating/acceleration in shocks and thermodynamics/transport driven by...