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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.
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Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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.
Greg J. Evans
Nuclear Technology | Volume 116 | Number 3 | December 1996 | Pages 293-305
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT96-A35285
Articles are hosted by Taylor and Francis Online.
Any release of radioiodine to the environment following a reactor accident depends to a large extent on its volatility within a containment structure. A common measure of iodine volatility is the water-air volumetric iodine partition coefficient (IPC), defined as the ratio of aqueous to airborne radioiodine concentrations. The impact of pH and total iodine concentration on volatility is evaluated through experiments and modeling to establish the relevant trends and improve the understanding of the underlying mechanisms. The model consists of kinetic expressions for 125 reactions. The IPC is evaluated experimentally by irradiating, at 0.25 kGy/h and 25°C, 131I-labeled CsI solutions ranging in concentration from 10−8 to 10−4 Mand in pH from 3 to 12. Both the experiments and the modeling indicate that under acidic conditions, the IPC for 10−6 M solutions is substantially higher than that for 10−5 M solutions. The predicted dependence of the IPC on pH for acidic 10−5 M solutions is in good agreement with that observed experimentally. However, substantial divergence occurred for more dilute solutions and for basic pH conditions. It is speculated that under these conditions, atomic iodine may contribute substantially to the overall volatility; adding atomic iodine volatility to the model is found to greatly improve the agreement.