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Division Spotlight
Nuclear Criticality Safety
NCSD provides communication among nuclear criticality safety professionals through the development of standards, the evolution of training methods and materials, the presentation of technical data and procedures, and the creation of specialty publications. In these ways, the division furthers the exchange of technical information on nuclear criticality safety with the ultimate goal of promoting the safe handling of fissionable materials outside reactors.
Meeting Spotlight
2021 Student Conference
April 8–10, 2021
North Carolina State University|Raleigh Marriott City Center
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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November 2020
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Latest News
ANS Board of Directors votes to retire outdated position statements
The American Nuclear Society’s Board of Directors on November 19 voted to retire several outdated position statements, as requested by the Public Policy Committee. Among them are Position Statements #37 and #63, dating from 2010, which have been retired for lacking policy recommendations and for being redundant, as other position statements exist with language that better articulates the Society’s stance on those topics.
Zachary K. Hardy, Jim E. Morel, Cory Ahrens
Nuclear Science and Engineering | Volume 193 | Number 11 | November 2019 | Pages 1173-1185
Technical Paper | dx.doi.org/10.1080/00295639.2019.1609317
Articles are hosted by Taylor and Francis Online.
In this paper we explore the use of dynamic mode decomposition (DMD) for modeling the kinetics of subcritical metal systems pulsed with fast neutrons. Our ultimate purpose is to obtain a fast and accurate reduced-order model for such systems that can be used to develop an emulator. An alternative to DMD is α-eigenfunction expansions, but we show that DMD is vastly superior in several ways for the systems of interest to us.
