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
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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
NextGen MURR Working Group established in Missouri
The University of Missouri’s Board of Curators has created the NextGen MURR Working Group to serve as a strategic advisory body for the development of the NextGen MURR (University of Missouri Research Reactor).
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.
