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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
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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
NRC’s David Wright visits the Hill and more NRC news
The Nuclear Regulatory Commission is in the spotlight today for three very different reasons. First, NRC Chair David Wright was on the Hill yesterday for his renomination hearing in front of the Senate’s Environment and Public Works Committee. Second, the NRC released its updated milestone schedules according to the Nuclear Energy Innovation and Modernization Act (NEIMA) and the executive orders signed by President Trump last month; and third, as reported by Reuters on Tuesday, 28 former NRC officials have condemned the dismissal of Commissioner Hanson earlier this month.
Randal S. Baker, Kenneth R. Koch
Nuclear Science and Engineering | Volume 128 | Number 3 | March 1998 | Pages 312-320
Technical Note | doi.org/10.13182/NSE98-1
Articles are hosted by Taylor and Francis Online.
A parallel three-dimensional Sn algorithm is described for performing eigenvalue calculations on rectangular meshes using the Thinking Machines Connection Machine model CM-200 computer. By using a two-dimensional spatial decomposition, we retain the ability to invert the source iteration equation in a single "sweep." Thus, this scheme gives essentially problem-independent performance in the sense that it represents an intrinsic decomposition.