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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Materials in Nuclear Energy Systems (MiNES 2023)
December 10–14, 2023
New Orleans, LA|New Orleans Marriott
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nov 2023
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Nuclear Science and Engineering
December 2023
Nuclear Technology
Fusion Science and Technology
November 2023
Latest News
Saskatchewan government provides C$80 million for eVinci demonstration
Saskatchewan premier Scott Moe yesterday announced C$80 million (about $59 million) for the Saskatchewan Research Council (SRC) to pursue demonstration of Westinghouse Electric Company’s eVinci microreactor technology.
Technical Session
Thursday, February 11, 2021|3:15–5:00PM EST
Session Chair:
Gerard O. Hildebrandt
Session Organizer:
Alternate Chair:
Michael L. Marler
Session Producer:
James Shehee
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Presentation Slides (Visible to Attendees) — 34078
Presentation Slides (Visible to Attendees) — 34043
Presentation Slides (Visible to Attendees) — 34079
Presentation Slides (Visible to Attendees) — 34093
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Line of Sight to Improving Plant Performance
John G. Austin (Southern Nuclear Operating Company), Mark Padavano (Southern Nuclear Operating Company)
Summary
Aligning the Leadership Team on Programs and Initiatives Affecting People
Michael L. Marler (Accelerant Solutions), David Heler (Accelerant Solutions)
Line and Training Partnership to Improve Performance
Pamela J. Theis (STPNOC)
Using the Proficiency Model to Improve Performance
Steven W. Meng (INPO)
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