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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Panelists talk domestic enrichment expansion at Global 2026
What fuels the future of nuclear? Whether it is low-enriched uranium, LEU+, or high-assay low-enriched uranium, one of the answers is in the question itself: fuel.
Earlier this week, the American Nuclear Society’s Fuel Cycle & Waste Management Division hosted Global 2026, with the theme of “Deploying Sustainable Nuclear Fuel Cycles.”
During one plenary session, “Fueling the Future of Nuclear,” panelists from Urenco USA, Centrus Energy, General Matter, and Global Laser Enrichment shared with attendees how the companies were contributing to the front end of the fuel cycle—more specifically, by launching or expanding their respective enrichment services.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Wednesday, June 16, 2021|12:00–1:45PM EDT
Session Chair:
Graeme M. West
Alternate Chair:
Jamie B. Coble
Session Organizer:
Staff Producer:
Ashley Jiminian (ANS)
To access the session recording, you must be logged in and registered for the meeting.
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To access paper attachments, you must be logged in and registered for the meeting.
Automated Image Stitching of Down Channel Nuclear Reactor Fuel Channel Inspection Footage
Michael Devereux (Univ. of Strathclyde), Paul Murray (Univ. of Strathclyde), Graeme West (Univ. of Strathclyde)
Paper
Attachment — Bio
An Innovative Crack Detection Algorithm to Support Automated Inspection of Nuclear Reactor Cores
Efstathios Branikas (Univ. of Strathclyde), Paul Murray (Univ. of Strathclyde), Graeme West (Univ. of Strathclyde)
Machine Learning of Flash Thermography Images for Detection of Early Stage Fatigue in Martensitic Steel
Xin Zhang (Illinois Institute of Technology), Jafar Saniie (Illinois Institute of Technology), Thiago Seuaciuc-Osorio (Electric Power Research Institute), Sasan Bakhtiari (ANL), Alexander Heifetz (ANL)
Gaussian Process Ensemble for Corrosion Modeling and Prediction in Molten Salt Reactors
Elizabeth Sooby (Univ. of Texas San Antonio), Miltiadis Alamaniotis (Univ. of Texas at San Antonio), Alexander Heifetz (ANL)
Automated Generation of Training Dataset for Crack Detection in Nuclear Power Plant Components
Zhouxiang Fei (Univ. of Strathclyde), Graeme M. West (Univ. of Strathclyde), Paul Murray (Univ. of Strathclyde), Gordon Dobie (Univ. of Strathclyde)
Attachment — Updated version of the paper
Attachment — Biography