4 papers
Noise Reduction in X-ray Photon Correlation Spectroscopy with Convolutional Neural Networks Encoder-Decoder Models
Tatiana Konstantinova, Lutz Wiegart, Maksim Rakitin +2
Like other experimental techniques, X-ray Photon Correlation Spectroscopy is subject to various kinds of noise. Random and correlated fluctuations and heterogeneities can be presen…
Resource-Constrained Optimal Experimental Design
Anthony M. DeGennaro, Francis J. Alexander
The goal of this paper is to make Optimal Experimental Design (OED) computationally feasible for problems involving significant computational expense. We focus exclusively on the M…
Model Structural Inference using Local Dynamic Operators
Anthony M. DeGennaro, Nathan M. Urban, Balasubramanya T. Nadiga +1
This paper focuses on the problem of quantifying the effects of model-structure uncertainty in the context of time-evolving dynamical systems. This is motivated by multi-model unce…
Data-Driven Low-Dimensional Modeling and Uncertainty Quantification for Airfoil Icing
Anthony M. DeGennaro, Clarence W. Rowley, Luigi Martinelli
The formation and accretion of ice on the leading edge of an airfoil can be detrimental to aerodynamic performance. Furthermore, the geometric shape of leading edge ice profiles ca…