bayesian-inference

Uncertainty Quantification for Incident Helium Flux in Plasma-Exposed Tungsten

In this work, the surface response of a tungsten plasma-facing component was simulated by a cluster-dynamics code, Xolotl, with a focus on quantifying the impact of uncertainty in one of the input parameters to Xolotl, namely, the incident helium …

Bayesian Framework for Embedded Model Error Representation and Quantification

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Embedded Model Error Representation in Computational Models

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Bayesian Inference for Model Error Quantification and Propagation with UQTk

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Embedded Model Error Representation for Bayesian Model Calibration

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UQ Update - Fitting Models to Langmuir Probe Data

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The Pitfalls of Provisioning Exascale Networks: A Trace Replay Analysis for Understanding Communication Performance

Data movement is considered the main performance concern for exascale, including both on-node memory and off-node network communication. Indeed, many application traces show significant time spent in MPI calls, potentially indicating that faster …

Embedded Model Error Quantification and Propagation

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Probabilistic Methods for Uncertainty Quantification in Computational Models

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Probabilistic Parameter Estimation in a 2-Step Chemical Kinetics Model for n-Dodecane Jet Autoignition

This paper demonstrates the development of a simple chemical kinetics model designed for autoignition of n-dodecane in air using Bayesian inference with a model-error representation. The model error, i.e. intrinsic discrepancy from a high-fidelity …