63 citations · 357 across the 53 of their papers we have counts for
4 papers · 1 filter
A Hyperbolic Neural Closure for M1 Radiation Transfer
Bongseok Kim, Jiahao Zhang, Johannes Krotz +3
In radiation transfer simulations, an M1 method achieves substantial computational savings by replacing the full angular transport equation with a low-order moment system. Because…
Transfer learning to model inertial confinement fusion experiments
K. D. Humbird, J. L. Peterson, R. G. McClarren
Inertial confinement fusion (ICF) experiments are designed using computer simulations that are approximations of reality, and therefore must be calibrated to accurately predict exp…
Predicting the time-evolution of multi-physics systems with sequence-to-sequence models
K. D. Humbird, J. L. Peterson, R. G. McClarren
In this work, sequence-to-sequence (seq2seq) models, originally developed for language translation, are used to predict the temporal evolution of complex, multi-physics computer si…
Deep neural network initialization with decision trees
K. D. Humbird, J. L. Peterson, R. G. McClarren
In this work a novel, automated process for constructing and initializing deep feed-forward neural networks based on decision trees is presented. The proposed algorithm maps a coll…