Equation of State
FOCUS · EE02 · ID: 1459369
Presentations
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Empirical Correlations Between the Function of Entropy (Z<sub>s</sub>) and Net Artificial Viscous Work in a Shock Physics Hydrocode
ORAL
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Presenters
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David E Kittell
- Sandia National Laboratories
Authors
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David E Kittell
- Sandia National Laboratories
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Quantifying uncertainty in equation-of-state and opacity models
ORAL · Invited
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Presenters
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Jim A Gaffney
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
Authors
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Jim A Gaffney
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Suzanne J Ali
- Lawrence Livermore Natl Lab
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Connor Krill
- Johns Hopkins University
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Gin Li
- Johns Hopkins University
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Gennady Miloshevsky
- Virginia Commonwealth University
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Peter Muto
- Virginia Commonwealth University
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Juniper Savchick
- Virginia Commonwealth University
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Himanshu Sharma
- Johns Hopkins University
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Michael Shields
- Johns Hopkins University
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Philip A Sterne
- Lawrence Livermore Natl Lab
- Lawrence Livermore National Laboratory
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Dimitrios Tsapetis
- Johns Hopkins University
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June K Wicks
- Johns Hopkins University
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Lin H Yang
- Lawrence Livermore Natl Lab
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Zixuan YE
- Johns Hopkins University
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A Machine Learning Framework to Predict Unreacted Shock Compression Response of Solids Under Scarce Data
ORAL
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Publication: S. Balakrishnan, F. VanGessel, B. Barnes, R. Doherty, W. Wilson, Z. Boukouvalas, M. Fuge and P. Chung, "Machine Learning for Shock Compression of Solids using Scarce Data," Journal of Applied Physics, submitted for publication, 2023.
Presenters
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SANGEETH BALAKRISHNAN
- University of Maryland, College Park
Authors
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SANGEETH BALAKRISHNAN
- University of Maryland, College Park
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Francis G VanGessel
- Naval Surface Warfare Center
- University of Maryland, College Park
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Brian C Barnes
- U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory
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Zois Boukouvalas
- American University
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Mark D Fuge
- University of Maryland
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William Wilson
- Energetics Technology Center, Indian Head, MD 20640
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Ruth Doherty
- Energetics Technology Center
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Peter W Chung
- University of Maryland, College Park
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Automated Design of HED Experiments on the Z Machine: a Metrics-Based Approach
ORAL
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Presenters
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Andrew J Porwitzky
- Sandia National Laboratories
Authors
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Andrew J Porwitzky
- Sandia National Laboratories
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Justin L Brown
- Sandia National Laboratories
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William E Lewis
- Sandia National Laboratories
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