Predictive Fidelity Interpretability and Resilience of Machine Learning Methods Applied to Scientific Simulations
Abstract not provided.
Publications
Search results
Jump to search filtersPolynomial Chaos Based Uncertainty Quantification
Abstract not provided.
Polynomial Chaos Based Uncertainty Quantification
Abstract not provided.
Intrusive polynomial chaos methods for forward uncertainty propagation
Handbook of Uncertainty Quantification
Polynomial chaos (PC)-based intrusive methods for uncertainty quantification reformulate the original deterministic model equations to obtain a system of equations for the PC coefficients of the model outputs. This system of equations is larger than the original model equations, but solving it once yields the uncertainty information for all quantities in the model. This chapter gives an overview of the literature on intrusive methods, outlines the approach on a general level, and then applies it to a system of three ordinary differential equations that model a surface reaction system. Common challenges and opportunities for intrusive methods are also highlighted.
Scaling and Energy Analysis for a Resilient ULFM-Based PDE Solver
Abstract not provided.
A Resilient ULFM-based PDE Solver: Performance Scaling and Energy Analysis
Abstract not provided.
UQTk Version 3.0.3 User Manual
The UQ Toolkit (UQTk) is a collection of libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.0.3 offers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sen- sitivity analysis, methods for sparse surrogate construction, and Bayesian inference tools for inferring parameters from experimental data. This manual discusses the download and installation process for UQTk, provides pointers to the UQ methods used in the toolkit, and describes some of the examples provided with the toolkit.
Incorporating Data Uncertainty into Equation of State Tables
Abstract not provided.
Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver
Abstract not provided.
Bayesian Calibration: An introductory tutorial
Abstract not provided.
Building a Partial Differential Equations Solver that is Resilient to Soft and Hard Faults
Abstract not provided.
Partial Differential Equations Solver Resilient to Soft and Hard Faults
Abstract not provided.
Uncertainty Quantification Toolkit
Abstract not provided.
Weighted Iterative Bayesian Compressive Sensing (WIBCS) for High Dimensional Polynomial Surrogate Construction
Abstract not provided.
Performance Scaling Variability and Energy Analysis for a Resilient ULFM-based PDE Solver
Abstract not provided.
Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine ? ScramjetUQ ?
Abstract not provided.
UQTk (V. 3.0) User Manual
The UQ Toolkit (UQTk) is a collection of libraries and tools for the quantification of uncertainty in numerical model predictions. Version 3.0 offers intrusive and non-intrusive methods for propagating input uncertainties through computational models, tools for sensitivity analysis, methods for sparse surrogate construction, and Bayesian inference tools for inferring parameters from experimental data. This manual discusses the download and installation process for UQTk, provides pointers to the UQ methods used in the toolkit, and describes some of the examples provided with the toolkit.
Integrated Material Models for Equation of State and Transport Properties for Aluminum Supporting Uncertainty Quantification
Abstract not provided.
Uncertainty Quantification in LES Computations of Turbulent Multiphase Combustion in a Scramjet Engine
Abstract not provided.
Rexsss Parallel Distributed PDE Solver Sensitivity Analysis
Abstract not provided.
Rexsss Parallel Distributed PDE Solver Sensitivity Analysis
Abstract not provided.
Accounting for Data Uncertainty in Making and Using an EOS
Abstract not provided.
Why Are Dual Pane Windows Better?
Abstract not provided.
Scalability of Partial Differential Equations Preconditioner Resilient to Soft and Hard Faults
Abstract not provided.
ULFM-MPI Implementation of a Resilient Task-Based Partial Differential Equations Preconditioner [Poster]
Demonstrate algorithm-based resilience to silent data corruption (SDC) and hard faults in a task-based domain-decomposition preconditioner for elliptic PDEs.
Results 76–100 of 288