2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025
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.data-an2024★ 2 cited
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…