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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
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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Nuclear Science and Engineering
January 2025
Nuclear Technology
Fusion Science and Technology
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Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
Technical Session|Sponsored by RPD
Tuesday, November 15, 2022|10:00–11:45AM MST|Sonoran 7
Session Chair:
Zeyun Wu (VCU)
Alternate Chair:
Massimiliano Fratoni (UC Berkeley)
Session Organizer:
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Verification of Diffusion Solver with Equivalent Transport Factors on PWR Assembly Models
10:00–10:20AM MST
Muhammad Rizki Oktavian (Purdue), Oscar Lastres (Purdue), Yunlin Xu (Purdue)
Paper
Discrete Element Method Investigation of Reflector Dimples for a General Pebble Bed Reactor Design
10:20–10:40AM MST
David Reger (Penn State), Paolo Balestra (INL), Ryan Stewart (INL), Gerhard Strydom (INL), Elia Merzari (Penn State)
Application of Two-Node Discontinuity Factor for Improving Accuracy of Nodal Calculation
10:40–11:00AM MST
HwanYeal Yu (KEPCO Nuclear Fuel), Joo-Ill Yoon (KEPCO Nuclear Fuel)
Real Variance Estimation in the iDTMC-Based Depletion Analysis Using Correlated Sampling
11:00–11:20AM MST
Inyup Kim (KAIST), Inhyung Kim (Univ. California, Berkeley), Yonghee Kim (KAIST)
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