ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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
DOE-EM awards $74.8M Oak Ridge support services contract
The Department of Energy’s Office of Environmental Management has awarded a five-year contract worth up to $74.8 million to Independent Strategic Management Solutions for professional support services at the Oak Ridge Office of Environmental Management site in Oak Ridge, Tenn.
T. A. Porsching, J. H. Murphy, J. A. Redfield
Nuclear Science and Engineering | Volume 43 | Number 2 | February 1971 | Pages 218-225
Technical Paper | doi.org/10.13182/NSE71-A21269
Articles are hosted by Taylor and Francis Online.
Hydraulic-network models have been used to study transient flow phenomena in pressurized water reactor plants. The nature of the differential equations associated with these networks imposes severe time-step restrictions on explicit numerical integration methods. This paper develops a convergent, implicit method which, when used in conjunction with a block inversion technique, produces an efficient numerical integration procedure for the network equations.