10 citations · 19 across the 7 of their papers we have counts for
7 papers
A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
Asya Y. Akkus, Bradley T. Wolfe, Pinghan Chu +7
Neutron imaging is essential for diagnosing and optimizing inertial confinement fusion implosions at the National Ignition Facility. Due to the required 10-micrometer resolution, h…
Physics-informed Meta-instrument for eXperiments (PiMiX) with applications to fusion energy
Zhehui Wang, Shanny Lin, Miles Teng-Levy +24
Data-driven methods (DDMs), such as deep neural networks, offer a generic approach to integrated data analysis (IDA), integrated diagnostic-to-control (IDC) workflows through data…
Efficiency Studies of Fast Neutron Tracking using MCNP
Pinghan Chu, Michael R. James, Zhehui Wang
Fast neutron identification and spectroscopy is of great interest to nuclear physics experiments. Using the neutron elastic scattering, the fast neutron momentum can be measured. (…
Time-lens Photon Doppler Velocimetry (TL-PDV)
Pinghan Chu, Velat Kilic, Mark A. Foster +1
We describe a time lens to expand the dynamic range of photon Doppler velocimetry (PDV) systems. The principle and preliminary design of a time-lens PDV (TL-PDV) are explained and…
The ISTI Rapid Response on Exploring Cloud Computing 2018
Carleton Coffrin, James Arnold, Stephan Eidenbenz +45
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrati…
Measurement of high-temperature microparticle acceleration through imaging
Pinghan Chu, Bradley T. Wolfe, Zhehui Wang
Microparticles ranging from sub-microns to millimeter in size are a common form of matter in magnetic fusion environment, and they are highly mobile due to their small mass. Differ…