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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.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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
NuScale Energy Exploration Center opens at SC State
NuScale Power Corporation’s latest Energy Exploration (E2) Center has opened at South Carolina State University, in Orangeburg. E2 Centers are designed to provide visitors with hands-on experiences in simulated scenarios of operations at nuclear power plants. NuScale has established 10 such centers around the world. The company officially presented the fully installed E2 Center to SC State on May 21, after a collaborative setup and training process was completed.
Yakov Ben-Haim
Nuclear Science and Engineering | Volume 75 | Number 2 | August 1980 | Pages 191-199
Technical Note | doi.org/10.13182/NSE80-A21310
Articles are hosted by Taylor and Francis Online.
Reliable and safe operation of a nuclear power plant or any other complex network of flow-connected subunits requires prompt detection and location of failed subunits. An algorithm is described, which performs (in many cases) unambiguous automatic location of single or multiple failures. Types of failures that cannot be located unambiguously are characterized. The algorithm can be applied to networks with a serial array of subunits, with converging or branching nodes or with feedback. An optimal structure of the algorithm is identified that allows the maximal failure locating capability with a minimum of logical or arithmetical manipulation. This is important especially for application to large systems. The dynamic behavior of the algorithm is examined for a simple system.