bayesian-inference

Quantifying Uncertainties in Residual Neural Networks and Neural ODEs

Talk

Model Error Estimation for Active Learning of Interatomic Potential Models

Talk

Bayesian Calibration with Summary Statistics for the Prediction of Xenon Diffusion in UO2 Nuclear Fuel

The evolution and release of fission gas impacts the performance of UO2 nuclear fuel. We have created a Bayesian framework to calibrate a novel model for fission gas transport that predicts diffusion rates of uranium and xenon in UO2 under both …

Uncertainty Quantification of Machine Learning Interatomic Potential Models

Poster

Model Error Estimation and Uncertainty Quantification of Machine Learning Interatomic Potentials

Talk

UQ and Model Error Estimation for Machine Learning Interatomic Potentials

Talk

Quantification and Propagation of Uncertainties in Machine Learning Interatomic Potentials for Molecular Dynamics

Talk

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 …