Validation of the compression regime of a new nickel equation of state.
Abstract not provided.
Cochrane, Kyle↗
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Results for “compressing”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Shock and shock-ramp compression of iron-rich (Mg,Fe)O up to Earth?s core conditions.
Abstract not provided.
Bausch, Hannah↗
Bayesian methods to extract cold curves from shockless compression experiments on the Z machine.
Abstract not provided.
Brown, Justin↗
Using Shockless Ramp Compression to Investigate Melting in the Earth?s Mantle.
Abstract not provided.
Harrison, Lindsay↗
A performance portable implementation of high-order, entropy-stable spectral collocation schemes for compressible turbulent flows.
Abstract not provided.
Watkins, Jerry↗
What is the Best Model? A Statistical Approach to Compression Analytics.
Abstract not provided.
Foss, Alexander↗
Prospects for Field-Reversed Configuration Formation & Compression on Z.
Abstract not provided.
Sporer, Brendan J.↗
Convolutional neural networks for data compression and reduced-order modeling.
Abstract not provided.
Gruber, Anthony↗
Data Compression Techniques for Large-Scale Memory-Bound Finite Element Applications.
Abstract not provided.
Harper, Graham↗
Magnetized Liner Inertial Fusion: Developing a data-driven understanding of magnetic flux compression from computation through experiment.
Abstract not provided.
Lewis, William↗
Investigating the role of magnetic flux compression in the formation of helical structures in axially magnetized implosions.
Abstract not provided.
Gomez, Matthew↗
Turbulence modeling for compressible flows using discrepancy tensor-basis neural networks and extrapolation detection .
Abstract not provided.
Parish, Eric↗
In Situ Ion Irradiation and Compression of Micropillars inside a Transmission Electron Microscope .
Abstract not provided.
Schoell, Ryan↗
A preliminary exploration of using mixture density networks for data compression in Monte Carlo codes [Slides]
The thermal radiative transfer equations (TRT) model many important phenomena of interest at LANL. The TRT equations model time-dependent thermal radiation through a medium, i.e., how thermal radiation loses energy by absorption, gains energy via emission processes, and redistributes energy via scattering.
73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗