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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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Latest News
INL’s new innovation incubator could link start-ups with an industry sponsor
Idaho National Laboratory is looking for a sponsor to invest $5 million–$10 million in a privately funded innovation incubator to support seed-stage start-ups working in nuclear energy, integrated energy systems, cybersecurity, or advanced materials. For their investment, the sponsor gets access to what INL calls “a turnkey source of cutting-edge American innovation.” Not only are technologies supported by the program “substantially de-risked” by going through technical review and development at a national laboratory, but the arrangement “adds credibility, goodwill, and visibility to the private sector sponsor’s investments,” according to INL.
Mansur A. Alammar
Nuclear Technology | Volume 93 | Number 1 | January 1991 | Pages 47-52
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT91-A34517
Articles are hosted by Taylor and Francis Online.
The Oyster Creek RETRAN licensing model was submitted for approval by the U.S. Nuclear Regulatory Commission in September 1987. The technical issues and concerns that were raised during the review process and how they were resolved are discussed. The technical issues are grouped into three major categories: (a) the adequacy of the model benchmark against plant data; (b) uncertainty analysis and model convergence with respect to various critical parameters (code correlations, nodalization, time step, etc.); and (c) model application and usage.