1 citations · 3 across the 5 of their papers we have counts for
9 papers
A Case Study on Quantifying Reliability under Extreme Risk Constraints in Space Missions
Dawn L. Sanderson, Amy Braverman, Giuseppe Cataldo +2
In this paper, we employ a Bayesian approach to uncertainty quantification of computer simulations used to assess the probability of rare events. As a case study, we assess the rel…
Convolutional Autoencoders for Reduced-Order Modeling
Sreeram Venkat, Ralph C. Smith, Carl T. Kelley
In the construction of reduced-order models for dynamical systems, linear projection methods, such as proper orthogonal decompositions, are commonly employed. However, for many dyn…
Particle Filtering Convergence Results for Radiation Source Detection
Jared Cook, Ralph C. Smith, Camila Ramirez +1
Recent research has shown a weak convergence - convergence in distribution - of particle filtering methods under certain assumptions. However, some applications of particle filteri…
Model input and output dimension reduction using Karhunen Loève expansions with application to biotransport
Alen Alexanderian, William Reese, Ralph C. Smith +1
We consider biotransport in tumors with uncertain heterogeneous material properties. Specifically, we focus on the elliptic partial differential equation (PDE) modeling the pressur…
Derivative-based global sensitivity analysis for models with high-dimensional inputs and functional outputs
Helen L. Cleaves, Alen Alexanderian, Hayley Guy +2
We present a framework for derivative-based global sensitivity analysis (GSA) for models with high-dimensional input parameters and functional outputs. We combine ideas from deriva…
A Validation and Uncertainty Quantification Framework for Eulerian-Eulerian Two-Fluid-Model based Multiphase-CFD Solver. Part II: Applications
Yang Liu, Nam Dinh, Ralph Smith
This paper is the second part of a two-part series, which introduces and demonstrates a Validation and Uncertainty Quantification (VUQ) framework that serves two major purposes: i)…