Investigating performance and variability of NIF ICF experiments with deep learning
Pokornik, M., Khan, S.F., Gaffney, J.A., MacGowan, B., Maris, A.D., Humbird, K., et al.
A continuation of the National Ignition Facility machine learning program, moving from tree-based models to deep learning in order to predict inertial confinement fusion performance and to separate systematic design effects from shot-to-shot variability.
Nuclear Fusion 65, 076016 (2025).
CitationPokornik, M., S.F. Khan, J.A. Gaffney, B. MacGowan, A. Maris, K. Humbird, et al. "Investigating performance and variability of NIF ICF experiments with deep learning." Nuclear Fusion 65, no. 7 (2025): 076016.