17 citations · 17 across the 1 of their papers we have counts for
4 papers
High-Energy Density Hohlraum Design Using Forward and Inverse Deep Neural Networks
Ryan G. McClarren, I. L. Tregillis, Todd J. Urbatsch +1
We present a study of using machine learning to enhance hohlraum design for opacity measurement experiments. For opacity experiments we desire a hohlraum that, when its interior wa…
Designing Radiation Transport Tests: Simulation-Driven Uncertainty-Quantification of the COAX Temperature Diagnostic
Chris L. Fryer, Abdourahmane Diaw, Chris J. Fontes +6
One of the difficulties in developing accurate numerical models of radiation flow in a coupled radiation-hydrodynamics setting is accurately modeling the transmission across a boun…
Radiation Transport Through Super-Eddington Stellar Winds
Joyce A. Guzik, Chris Fryer, Todd J. Urbatsch +1
We present results of simulations to assess the feasibility of modeling outflows from massive stars using the Los Alamos 3-D radiation hydrodynamics code Cassio developed for inert…
Unified 1-D Simulations of Gamma-Ray Line Emission from Type Ia Supernovae
P. A. Milne, A. L. Hungerford, C. L. Fryer +9
The light curves of Type Ia Supernovae (SN Ia) are powered by gamma-rays emitted by the decay of radioactive elements such as Ni and its decay products. These gamma-rays are…