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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
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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Latest News
Senate committee hears from energy secretary nominee Chris Wright
Chris Wright, president-elect Trump’s pick to lead the U.S. Department of Energy, spent hours today fielding questions from members of the U.S. Senate’s committee on Energy and Natural Resources.
During the hearing, Wright—who’s spent most of his career in fossil fuels—made comments in support of nuclear energy and efforts to expand domestic generation in the near future. Asked what actions he would take as energy secretary to improve the development and deployment of SMRs, Wright said: “It’s a big challenge, and I’m new to government, so I can’t list off the five levers I can pull. But (I’ve been in discussions) about how to make it easier to research, to invest, to build things. The DOE has land at some of its facilities that can be helpful in this regard.”
Christian Aussourd
Nuclear Science and Engineering | Volume 143 | Number 3 | March 2003 | Pages 281-290
Technical Paper | doi.org/10.13182/NSE03-A2336
Articles are hosted by Taylor and Francis Online.
Complementary methods may be used to solve the neutron transport problem. When only a small amount of information is needed, the most efficient method is obviously Monte Carlo. However, when perfect knowledge of the full phase-space is required, it is worth using a deterministic technique. Nevertheless, this memory and CPU time intensive approach may soon overwhelm even the most powerful computer. To deal with these issues, an adapted mesh refinement transport scheme was developed that solely retains active areas of a geometry. The computer code Styx, built on this efficient set of numerical methods, specially designed and tuned to run on such a tree-based topology, is presented. A test case subset, representative of the wide spectrum of multidimensional applications it covers, is then analyzed.