306 citations · 669 across the 17 of their papers we have counts for
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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…
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…