Data and code associated with the publication: Bayesian neural networks for predicting uncertainty in full-field material response

The dataset contains training, validation and testing data for the fiber reinforced composite and the polycrystalline material system. These are necessary for reproducing the results. In addition, the trajectories associated with the Hamiltonian Monte Carlo implementation are also made available. Software data include: .npy files associated with input-output training, validation and testing data for the fiber reinforced composite and the polycrystalline material dataset, respectively; .pkl files associate with the Hamiltonian Monte Carlo trajectories (2024-11)