activity
20182023
most citedMachine Learning for Detection of 3D Features using sparse X-ray data

9 citations · 27 across the 6 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2023★ 2 cited

Radiation-Hydrodynamics Effects in an Inhomogeneous Medium

Christopher L. Fryer, Paul A. Keiter, Vidushi Sharma +9

Radiation flow through an inhomogeneous medium is critical in a wide range of physics and astronomy applications from transport across cloud layers on the earth to the propagation…

cs.CV2022★ 9 cited

Machine Learning for Detection of 3D Features using sparse X-ray data

Bradley T. Wolfe, Michael J. Falato, Xinhua Zhang +7

In many inertial confinement fusion experiments, the neutron yield and other parameters cannot be completely accounted for with one and two dimensional models. This discrepancy sug…

physics.data-an2021

Neural Network for 3D ICF Shell Reconstruction from Single Radiographs

Bradley T. Wolfe, Zhizhong Han, Jonathan S. Ben-Benjamin +8

In inertial confinement fusion (ICF), X-ray radiography is a critical diagnostic for measuring implosion dynamics, which contains rich 3D information. Traditional methods for recon…

astro-ph.SR2019★ 5 cited

Atomic Modeling of Photoionization Fronts in Nitrogen Gas

William J. Gray, P. A. Keiter, H. Lefevre +5

Photoionization fronts play a dominant role in many astrophysical environments, but remain difficult to achieve in a laboratory experiment. Recent papers have suggested that experi…

astro-ph.GA2018★ 6 cited

Laboratory Photoionization Fronts in Nitrogen Gas: A Numerical Feasibility and Parameter Study

William J Gray, P. A. Keiter, H. Lefevre +5

Photoionization fronts play a dominant role in many astrophysical situations, but remain difficult to achieve in a laboratory experiment. We present the results from a computationa…