19 citations · 29 across the 3 of their papers we have counts for
3 papers
Particle image velocimetry analysis with simultaneous uncertainty quantification using Bayesian neural networks
Mia Morrell, Kyle Hickmann, Brandon Wilson
Particle image velocimetry (PIV) is an effective tool in experimental fluid mechanics to extract flow fields from images. Recently, convolutional neural networks (CNNs) have been u…
Identifying Entangled Physics Relationships through Sparse Matrix Decomposition to Inform Plasma Fusion Design
M. Giselle Fernández-Godino, Michael J. Grosskopf, Julia B. Nakhleh +3
A sustainable burn platform through inertial confinement fusion (ICF) has been an ongoing challenge for over 50 years. Mitigating engineering limitations and improving the current…
Exploring Sensitivity of ICF Outputs to Design Parameters in Experiments Using Machine Learning
Julia B. Nakhleh, M. Giselle Fernández-Godino, Michael J. Grosskopf +3
Building a sustainable burn platform in inertial confinement fusion (ICF) requires an understanding of the complex coupling of physical processes and the effects that key experimen…