Bulletin of the American Physical Society
76th Annual Meeting of the Division of Fluid Dynamics
Sunday–Tuesday, November 19–21, 2023; Washington, DC
Session L17: Machine Learning for Inference and Analysis of Fluid Flows
8:00 AM–10:36 AM,
Monday, November 20, 2023
Room: 145B
Chair: Aaron Towne, University of Michigan
Abstract: L17.00010 : In Situ Anomaly Detection in Turbulent Reacting Flows at the Exascale*
9:57 AM–10:10 AM
Presenter:
Jorge Salinas
(Sandia National Laboratories)
Authors:
Jorge Salinas
(Sandia National Laboratories)
Hemanth Kolla
(Sandia National Laboratories)
Martin Rieth
(Sandia National Laboratories)
Jacqueline H Chen
(Sandia National Laboratories)
Janine C Bennett
(Sandia National Laboratories)
Marco Arienti
(Sandia National Laboratories)
Nicole Marsaglia
(Lawrence Livermore National Laboratory)
Cyrus Harrison
(Lawrence Livermore National Laboratory)
*This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering and early testbed platforms, in support of the nation's exascale computing imperative. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology and Engineering Solutions of Sandia LLC, a wholly owned subsidiary of Honeywell International Inc. for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525.
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