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Division Spotlight
Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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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BREAKING NEWS: Trump issues executive orders to overhaul nuclear industry
The Trump administration issued four executive orders today aimed at boosting domestic nuclear deployment ahead of significant growth in projected energy demand in the coming decades.
During a live signing in the Oval Office, President Donald Trump called nuclear “a hot industry,” adding, “It’s a brilliant industry. [But] you’ve got to do it right. It’s become very safe and environmental.”
Y. A. Chao, P. Huang
Nuclear Science and Engineering | Volume 103 | Number 4 | December 1989 | Pages 415-419
Technical Paper | doi.org/10.13182/NSE89-A23693
Articles are hosted by Taylor and Francis Online.
A superfast, multidimensional, and compact pressurized water reactor nodal code, SUPERNOVA (SPNOVA), which is much faster than conventional nodal codes and is very accurate, has been developed at Westinghouse Electric Corporation. A kinetics version of this code, SPNOVA-K, is now developed for applications to three-dimensional core kinetics analysis. The theory involved in the kinetics generalization of SPNOVA is discussed and the performance of SPNOVA-K is described. SPNOVA-K adopts the stiffness confinement method of time variable discretization. This method can provide a very stable solution against the size of the discrete time step, allowing much larger step sizes to be used.
