model-error

Bayesian Inference of Interatomic Potentials

Talk

Quantification of the Effect of Uncertainty on Impurity Migration in PISCES-A Simulated with GITR

A Bayesian inference strategy has been used to estimate uncertain inputs to global impurity transport code (GITR) modeling predictions of tungsten erosion and migration in the linear plasma device, PISCES-A. This allows quantification of GITR output …

Quantifying Modeling Uncertainty in Simplified Beam Models for Building Response Prediction

The use of simple models for response prediction of building structures is preferred in earthquake engineering for risk evaluations at regional scales, as they make computational studies more feasible. The primary impediment in their gainful use …

Statistical Learning and Model Error Estimation

Talk

Uncertainty Quantification with Model Structural Error

Talk

Embedded Model Error Quantification and Propagation in Physical Models

Talk

Calibration and Propagation of Model Structural Error for E3SM Land Model

Poster

Surrogate-enabled Parameter Calibration and Structural Error Estimation in Land Models

Poster

Embedded Model Error Quantification and Propagation in Physical Systems

Talk

Embedded Model Error Representation for Bayesian Model Calibration

Model error estimation remains one of the key challenges in uncertainty quantification and predictive science. For computational models of complex physical systems, model error, also known as structural error or model inadequacy, is often the largest …