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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.
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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How to talk about nuclear
In your career as a professional in the nuclear community, chances are you will, at some point, be asked (or volunteer) to talk to at least one layperson about the technology you know and love. You might even be asked to present to a whole group of nonnuclear folks, perhaps as a pitch to some company tangential to your company’s business. So, without further ado, let me give you some pointers on the best way to approach this important and surprisingly complicated task.
M. M. Levine, D. J. Diamond
Nuclear Science and Engineering | Volume 47 | Number 4 | April 1972 | Pages 415-420
Technical Paper | doi.org/10.13182/NSE72-A22433
Articles are hosted by Taylor and Francis Online.
A method is developed for obtaining information about reactor power shapes from readings of in-core detectors. The readings are used to determine the coefficients for an expansion of the space-dependent power in terms of a set of basis functions. A least squares approach ensures that all the detector readings contribute to the result. Test cases for one-, two-, and three-dimensional distributions show that accurate results can be obtained with a rather simple choice of basis functions.