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Division Spotlight
Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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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Molten salt research is focus of ANS local section presentation
The American Nuclear Society’s Chicago–Great Lakes Local Section hosted a presentation on February 27 on developments at the molten salt research reactor at Abilene Christian University’s Nuclear Energy Experimental Testing (NEXT) Lab.
A recording of the presentation is available on the ANS website.
S. K. Penny, C. D. Zerby
Nuclear Science and Engineering | Volume 10 | Number 1 | May 1961 | Pages 75-82
Technical Paper | doi.org/10.13182/NSE61-A25933
Articles are hosted by Taylor and Francis Online.
The conditional Monte Carlo method of sampling has been applied to the spatial part of the gamma-ray transport problem in an infinite medium for the purpose of evaluating its general usefulness and its applicability to deep penetration problems. A simplified derivation of the application is presented, and the results of calculations for a water medium and a lead medium are shown. The calculations indicate that the conditional Monte Carlo method, as used in this application and without the aid of other special techniques, gives reasonably good results in a physical deep penetration problem out to approximately 10 mean free paths penetration distance independent of the absorbing properties of the material and can be carried out to 20 mean free paths if some inaccuracy can be tolerated.