6 papers
Design rules for industrial-scale sintering of UB4-UBC composites with high uranium density
Riley Moeykens, Anthony Albert-Harrup, David Simonne +2
Uranium borides are promising candidate fuel forms for use in advanced nuclear reactors due to their high thermal conductivity and potential for dual use as both fuel and burnable…
MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data
Chika Maduabuchi, Ericmoore Jossou, Matteo Bucci
High-speed video (HSV) phase detection (PD) segmentation is crucial for monitoring vapor, liquid, and microlayer phases in industrial processes. While CNN-based models like U-Net h…
Interlaced dynamic XCT reconstruction with spatio-temporal implicit neural representations
Mathias Boulanger, Ericmoore Jossou
In this work, we investigate the use of spatio-temporalImplicit Neural Representations (INRs) for dynamic X-ray computed tomography (XCT) reconstruction under interlaced acquisitio…
Chromium-doped uranium dioxide fuels: A review
Mack Wesley Cleveland, Andrew Nelson, Ericmoore Jossou
UO2 doped with parts per million Cr2O3 powder is considered a potential near term accident tolerant fuel candidate. Here, the results of decades of industry and academic research i…
Multipurpose in situ cell design for 3D X-ray imaging of electrochemical processes
Riley J. Hultquist, David Simonne, Sayantan Mondal +1
We present the design of a modular multipurpose cell for monitoring the degradation of materials in extreme environments. This cell decouples the reference electrode from the worki…
VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation
Chika Maduabuchi, Ericmoore Jossou, Matteo Bucci
High-speed video (HSV) segmentation is essential for analyzing dynamic physical processes in scientific and industrial applications, such as boiling heat transfer. Existing models…