The goal of this project is to build better surrogate models for Inertial Confinement Fusion (ICF) using neural networks. Particularly, we are interested in replicating the behavior of the JAG 1D Semi
data_for_training.zip contains the files used for training; it's a single OpenFOAM simulation, with fields and particles data saved as .npy used directly by the neural network. val_gen_results.zip co
This dataset contains the pretrained baseline models, namely FNO, U-Net, and PINN. These models are trained on different PDEs, such as 1D advection, 1D Burgers', 1D and 2D...
