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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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
INL’s new innovation incubator could link start-ups with an industry sponsor
Idaho National Laboratory is looking for a sponsor to invest $5 million–$10 million in a privately funded innovation incubator to support seed-stage start-ups working in nuclear energy, integrated energy systems, cybersecurity, or advanced materials. For their investment, the sponsor gets access to what INL calls “a turnkey source of cutting-edge American innovation.” Not only are technologies supported by the program “substantially de-risked” by going through technical review and development at a national laboratory, but the arrangement “adds credibility, goodwill, and visibility to the private sector sponsor’s investments,” according to INL.
Hiroshi Matsuoka
Nuclear Technology | Volume 94 | Number 2 | May 1991 | Pages 228-241
Technical Paper | Advances in Reactor Accident Consequence Assessment / Nuclear Reactor Safety | doi.org/10.13182/NT91-A34544
Articles are hosted by Taylor and Francis Online.
A simple image model, the package flow model, for fuzzy simulation of nuclear reactor system dynamics is presented. By using this model, fuzzy inference rules and their membership functions are easily obtained. The system dynamics can be approximately simulated by fuzzy inference. The method and some examples are described. The advantages of this model are intuitive under-standability, flexible modification, and simplicity. Furthermore, high-speed calculation and high reliability can be realized by using fuzzy computing hardware in the near future.
