uncertainty quantification

Active Learning for SNAP Interatomic Potentials via Bayesian Predictive Uncertainty

Bayesian inference with a simple Gaussian error model is used to efficiently compute prediction variances for energies, forces, and stresses in the linear SNAP interatomic potential. The prediction variance is shown to have a strong correlation with …

The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model

We conduct a global sensitivity analysis (GSA) of the Energy Exascale Earth System Model (E3SM), land model (ELM) to calculate the sensitivity of five key carbon cycle outputs to 68 model parameters. This GSA is conducted by first constructing a …