Deep-learned generators of porosity distributions produced during metal Additive Manufacturing
Not Available
Ogoke, Odinakachukwu Francis (ORCID:00000002243277↗
Engineering topics
Glinsky, Michael
Publications and source records attributed to Glinsky, Michael.
Physics-Informed Multi-Output Surrogate Modeling of Fusion Simulations.
Abstract not provided.
Maupin, Kathryn↗
Sparse-view tomographic reconstruction of MagLIF emission volumes using learned basis functions.
Abstract not provided.
Fein, Jeffrey↗
Sparse-view tomographic reconstruction of MagLIF emission volumes using learned basis functions.
Abstract not provided.
Fein, Jeffrey↗
Sparse-view tomographic reconstruction of MagLIF emission volumes using learned basis functions.
Abstract not provided.
Fein, Jeffrey↗
Advantage of Machine Learning over Maximum Likelihood in Limited-Angle Low-Photon X-Ray Tomography.
Abstract not provided.
Guo, Zhen↗
Bayesian Methods in Inertial Confinement Fusion Research: Embracing uncertainty and Learning More from our Data .
Abstract not provided.
Knapp, Patrick↗
Using Ross Filter Pairs to Observe Wall Mix in MagLIF Experiments at the NIF.
Abstract not provided.
Tubman, E.↗
Line VISAR measurements of energy deposition for next generation MagLIF laser preheat at NIF.
Abstract not provided.
Glinsky, Michael↗
Line VISAR measurements of energy deposition for next generation MagLIF laser preheat at NIF.
Abstract not provided.
Glinsky, Michael↗
Towards information limit in a low photon 3 dimensional x-ray imaging.
Abstract not provided.
Song, Jungki↗
An overview of magneto-inertial fusion on the Z Machine at Sandia National Laboratories.
Abstract not provided.
Yager-Elorriaga, David↗