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Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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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Article considers incorporation of AI into nuclear power plant operations
The potential application of artificial intelligence to the operation of nuclear power plants is explored in an article published in late December in the Washington Examiner. The article, written by energy and environment reporter Callie Patteson, presents the views of a number of experts, including Yavuz Arik, a strategic energy consultant.
Robert L. Buckley, Sudarshan K. Loyalka
Nuclear Technology | Volume 109 | Number 3 | March 1995 | Pages 346-356
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT95-A35083
Articles are hosted by Taylor and Francis Online.
Models currently used in aerosol source codes for the gravitational collision efficiency are deficient in not accounting fully for two particle hydrodynamics (interception and inertia), which becomes important for larger particles. A computer code that accounts for these effects in calculating particle trajectories is used to find values of efficiency for a range of particle sizes. Simple fits to these data as a function of large particle diameter for a given particle diameter ratio are then obtained using standard linear regression, and a new model is constructed. This model is then implemented into two computer codes, AEROMECH and CONTAIN, Version 1.2. For a test problem, concentration distributions obtained with the new model and the standard model for efficiency are found to be markedly different.