Predicting neutron yield of NIF ICF experiments by applying machine learning to a small (n<150) and heterogeneous experimental dataset

Work from my time as a NIF Summer Scholar at Lawrence Livermore National Laboratory, applying gradient-boosted decision trees to a small and heterogeneous set of inertial confinement fusion experiments to predict neutron yield and identify the design variables driving yield degradation. Later published in Physics of Plasmas (2023).