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DE-SC0018232: Towards Exascale Astrophysics of Mergers and Supernovae (TEAMS)

Award Status: Expired
  • Institution: The University of Tennessee, Knoxville, TN
  • DUNS:
  • Most Recent Award Date: 08/04/2022
  • Number of Support Periods: 5
  • PM: Guo, Xiaofeng
  • Current Budget Period: 09/01/2021 - 08/31/2023
  • Current Project Period: 09/01/2017 - 08/31/2023
  • PI: Steiner, Andrew
  • Supplement Budget Period: N/A

Public Abstract

Towards Exascale Astrophysics of Mergers and Supernovae (TEAMS)
Andrew W. Steiner, University of Tennessee, Knoxville (Principal Investigator)
Anthony Mezzacappa, University of Tennessee, Knoxville (co-Investigator)
Sanjay Reddy, University of Washington (co-Investigator)
Rebecca Surman, University of Notre Dame (co-Investigator)

This award will support the University of Tennessee at Knoxville's component of the SciDAC4 project "Towards Exascale Astrophysics of Mergers and Supernovae" (TEAMS). The TEAMS Project is a multi-laboratory and multi-university effort in computational nuclear astrophysics, which plans to dramatically improve our understanding of the rapid neutron capture process (r-process) that led to the synthesis of most of the elements heavier than iron. The r-process requires a neutron-rich environment that acts on very short time scales, suggesting an association with cataclysmic events such as core-collapse supernovae or neutron-star mergers. A central goal of the project is the calculation of the various observable signals of such events, including the fluxes of photons, neutrinos and gravitational waves, and nucleosynthesis signatures. Simulations of different astrophysics r-process scenarios have similar computational toolkit requirements, these being magnetohydrodynamics, thermonuclear kinetics, the equation of state of nuclear matter, and radiation transport of neutrinos. TEAMS plans to restructure existing astrophysical application codes to take full advantage of current and anticipated future supercomputers, and develop new open-source frameworks for nuclear astrophysics simulations that have greater physical fidelity; this will be feasible on the next generation of high performance supercomputers. At UTK, TEAMS members will develop equations of state and neutrino interactions that are essential aspects of supernova and merger simulations, and improve the treatment of general relativity in the simulation codes. This award will also support subcontracts to the University of Washington and the University of Notre Dame, to improve the modeling of neutrino interactions in hot and dense matter, and develop the more extensive nuclear reaction networks needed for accurate predictions of r-process nucleosynthesis abundances.

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