A Convergence Study in Global Sensitivity Analysis (presentation)
Abstract not provided.
Publications
A Convergence Study in Global Sensitivity Analysis
Abstract not provided.
Inference of reaction rate parameters based on summary statistics from experiments
Abstract not provided.
Reacting Flow Modeling with Detailed Chemical Kinetics
Abstract not provided.
A Sparse Quadrature Approach for Stochastic Optimization in Power Grid Models
Abstract not provided.
Density Estimation Framework for Model Error Quantification
Abstract not provided.
Parameter Estimation and Uncertainty Quantification in Turbulent Combustion Computations
Abstract not provided.
Probabilistic Inference of Model Parameters and Missing High-Dimensional Data Based on Summary Statistics
Abstract not provided.
Quantifying the Impacts of Parametric Uncertainty on Biogeochemistry in the ACME Land Model
Abstract not provided.
Density Estimation Framework for Model Error Quantification
Abstract not provided.
Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine
Abstract not provided.
Employing Sparse Quadrature for Stochastic Optimization in Power Grids
Abstract not provided.
Surrogate-based model for optimization under uncertainty
Abstract not provided.
Uncertainty Quantification in Computational Models
Abstract not provided.
Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error [Poster]
Abstract not provided.
Calibration and Comparison of Climate Models: Accounting for Structural and Discretization Error
Abstract not provided.
Chemical Model Reduction under Uncertainty
Abstract not provided.
UQ in Molecular Dynamics Simulations: Forward and Inverse Problem
Abstract not provided.
Sparse Polynomial Chaos Surrogate for ACME Land Model via Iterative Bayesian Compressive Sensing
Abstract not provided.
Optimization and Uncertainty Quantification
Abstract not provided.
Uncertainty Quantification in Computational Models
Abstract not provided.
Calibration and Forward Uncertainty Propagation for Large-eddy Simulations of Engineering Flows
The objective of this work is to investigate the efficacy of using calibration strategies from Uncertainty Quantification (UQ) to determine model coefficients for LES. As the target methods are for engineering LES, uncertainty from numerical aspects of the model must also be quantified. 15 The ultimate goal of this research thread is to generate a cost versus accuracy curve for LES such that the cost could be minimized given an accuracy prescribed by an engineering need. Realization of this goal would enable LES to serve as a predictive simulation tool within the engineering design process.
An Efficient Approach for Stochastic Optimization of Electricity Grid Operations
Abstract not provided.
Computational Statistical Inverse Problems with Sparse or Missing Data
Abstract not provided.
Low Rank Approximation-based Quadrature for Fast Evaluation of Multi-Particle Integrals
Abstract not provided.
Results 126–150 of 378