| Original language | English |
|---|---|
| Pages (from-to) | 470-473 |
| Number of pages | 4 |
| Journal | Transactions of the American Nuclear Society |
| Volume | 130 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2024 |
| Event | 2024 Annual Conference on Transactions of the American Nuclear Society, ANS 2024 - Las Vegas, United States Duration: Jun 16 2024 → Jun 19 2024 |
Funding
This work was completed in part through the Nuclear Engineering Science Laboratory Synthesis program at Oak Ridge National Laboratory. This material is based upon work supported under a University Nuclear Leadership Program Graduate Fellowship. This research was supported by the Exascale Computing Project (ECP), project number 17-SC-20-SC. The ECP is a collaborative effort of two DOE organizations, the Office of Science and the National Nuclear Security Administration, that are responsible for the planning and preparation of a capable exascale ecosystem-including software, applications, hardware, advanced system engineering, and early testbed platforms-to support the nation's exascale computing imperative. The submitted manuscript has been created by UChicago Argonne, LLC, Operator of Argonne National Laboratory ("Argonne"). Argonne, a U.S. Department of Energy Office of Science laboratory, is operated under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly, by or on behalf of the Government. The authors thank Tara Pandya and Cihangir Celik for their helpful reviews and the Exnihilo team for their assistance.