Bulletin of the American Physical Society
APS March Meeting 2022
Volume 67, Number 3
Monday–Friday, March 14–18, 2022; Chicago
Session S49: Extreme-Scale Computational Science Discovery in Fluid Dynamics and Related Disciplines II
8:00 AM–11:00 AM,
Thursday, March 17, 2022
Room: McCormick Place W-471B
Sponsoring
Units:
DCOMP DFD
Chair: Daniel Livescu, LANL
Abstract: S49.00004 : Machine-Learning-Enabled Prediction of Spatiotemporal Boundary Conditions in Multiphase Flow Simulations*
9:00 AM–9:12 AM
Presenter:
Gina M Magnotti
(Argonne National Laboratory)
Authors:
Gina M Magnotti
(Argonne National Laboratory)
Sudeepta Mondal
(Argonne National Laboratory)
Roberto Torelli
(Argonne National Laboratory)
Bethany A Lusch
(Argonne National Laboratory)
*This material is based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357. We gratefully acknowledge the computing resources provided on Bebop, a high-performance computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory. This research also used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. We would also like to thank Convergent Science for providing CONVERGE licenses and technical support for this work.
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