Ab-initio Nuclear Structure and Nuclear Reactions

PI Gaute Hagen, Oak Ridge National Laboratory
Co-PI Joseph Carlson, Los Alamos National Laboratory
Serdar Elhatisari, Universität Bonn
Stefano Gandolfi, Los Alamos National Laboratory
Gustav R. Jansen, Oak Ridge National Laboratory
Dean J. Lee, Facility for Rare Isotope Beams and Michigan State University
Alessandro Lovato, Argonne National Laboratory
Pieter Maris, Iowa State University
Petr Navrátil, TRIUMF
Thomas Papenbrock, University of Tennessee and Oak Ridge National Laboratory
Saori Pastore, Washington University in St. Louis
Maria Piarulli, Washington University in St. Louis
James P. Vary, Iowa State University
Robert B. Wiringa, Argonne National Laboratory
Hagen INCITE 2025

Accurate ab-initio predictions of properties atomic nuclei and neutron stars (connecting systems that differ by 18 orders in magnitude in size) are made possible by access to DOE’s exascale supercomputers. Image: Andy Sproles, Oak Ridge National Laboratory

Project Description

This INCITE project is leveraging DOE supercomputers to improve the simulation capabilities of atomic nuclei and nuclear matter, and their reactions with neutrinos and electrons. The team aims to advance the understanding of nuclear phenomena by targeting predictive capabilities regarding structure and reactions of nuclei, fundamental symmetries, and neutrino and electron interactions in nuclei. The project targets experiments and science at the Facility for Rare Isotope Beams (FRIB), Jefferson Laboratory (JLab), the Deep Underground Neutrino Experiment (DUNE), and ton-scale detectors for neutrinoless double β decay. The team is performing state-of-the-art simulations to provide quantified predictions where direct experiment is not possible or is subject to large uncertainties. Such calculations are relevant to many applications in nuclear energy, nuclear security, and nuclear astrophysics, since rare nuclei lie at the heart of nucleosynthesis and energy generation in stars. The team’s work will enable science not available previously and accelerate scientific discovery through high-performance computing.

Domains
Allocations