
Quantifying Uncertainties in Physical Models
28 Aug 2017   Contributor(s):: Ilias Bilionis
Increasing modeling detail is not necessarily correlated with increasing predictive ability. Setting modeling and numerical discretization errors aside, the more detailed a model gets, the larger the number of parameters required to accurately specify its initial/boundary conditions, constitutive...

Uncertainty Quantification with Rappture
29 Sep 2016   Contributor(s):: Martin Hunt
Uncertainty Quantification (UQ) is a new feature in Rappture. This presentation discusses What is it? Why would you need it? How does it work? How do you use it?

A Gentle Introduction to Uncertainty Quantification
19 Aug 2016   Contributor(s):: Ilias Bilionis

Uncertainty Quantification in Materials Modeling: Topics on Uncertainty Quantification
21 Mar 2016   Contributor(s):: Alejandro Strachan
This is the seminar portion of the NCN and NEEDS 2015 Summer School consisting of presentations related to uncertainty quantification.

Efficient Exploration of Quantified Uncertainty in Granular Crystals
16 Mar 2016   Contributor(s):: Juan Camilo Lopez
This work presents a way of quantifying uncertainty in granular crystals in a computationally efficient way. To accomplish this, a low dimensional response surface is approximated through the method of active subspaces. Within this framework, special structure within the inputs is exploited to...

Predictive Simulations of Materials and Devices with Quantified Uncertainties
11 Feb 2016   Contributor(s):: Alejandro Strachan

View of Uncertainty from a Mathematician doing Research at a Chemical Company
22 Jan 2016   Contributor(s):: James Sturnfield

Pertinent and Exciting Uncertainty Quantification Problem Spaces in Materials and Manufacturing
22 Jan 2016   Contributor(s):: Amanda Criner
A summary of a few exciting problem spaces will be given to demonstrate the breadth of pertinent uncertainty quantification problems to materials and manufacturing.

Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation Using a L1 Minimization with Basis Rotation Algorithm
16 Dec 2015   Contributor(s):: Guang Lin
Biomolecules exhibit conformation fluctuations near equilibrium states, inducing uncertainty in various biological properties. We have developed a L1 minimization with basis rotation algorithm to quantify this uncertainty using a generalized polynomial chaos expansion on collective variables...

ME 597A Lecture 1: Introduction to V&V
07 Jun 2015   Contributor(s):: Jayathi Murthy, Alina Alexeenko

ME 597A Lecture 2: Sensitivity Analysis
07 Jun 2015   Contributor(s):: Sanjay Mathur

ME 597A Lecture 4: Generalized Polynomial Chaos for UQ I  The Galerkin Approach
07 Jun 2015   Contributor(s):: Dongbin Xiu, Akil Narayan

ME 597A Lecture 5: Generalized Polynomial Chaos for UQ II  The Collocation Approach
01 May 2015   Contributor(s):: Dongbin Xiu, Akil Narayan

Rosenbrock Function for testing Uncertainty Quantification
13 Apr 2015   Contributor(s):: Martin Hunt
This tool is for testing and demonstrating ouq UQ code and Response Surfaces

Reproducing results from "PUQ: a code for nonintrusive uncertainty propagation in computer simulations"
27 Mar 2015   Contributor(s):: Martin Hunt, Marisol Koslowski, Alejandro Strachan
In this document we use the nanoPLASTICITY in nanoHUB to reproduce results of the paper "PUQ: a code for nonintrusive uncertainty propagation in computer simulations" to be published in Computer Physics Communications. The paper abstract follows. We present a software package for the...