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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
Nuclear and Emerging Technologies for Space (NETS 2025)
May 4–8, 2025
Huntsville, AL|Huntsville Marriott and the Space & Rocket 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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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Fusion Energy Week begins today
Excitement around fusion has only grown this year since the French magnetic confinement fusion tokamak known as WEST maintained a plasma for 1,337 seconds in February, toppling the 1,006-second record set by China’s EAST a few weeks prior. Investment, legislation, and new research are riding this new surge of attention, but fusion development has a long history.
M. Prasad, N. Snyderman, J. Verbeke, R. Wurtz
Nuclear Science and Engineering | Volume 174 | Number 1 | May 2013 | Pages 1-29
Technical Paper | doi.org/10.13182/NSE11-87
Articles are hosted by Taylor and Francis Online.
For material spontaneously generating fission chains, the arrival times of neutron and gamma-ray counts create a clustering pattern distinctly different from a random source. A theory for the time interval distribution between counts is given. As well as the distribution of nearest-neighbor counts, we give the general distributions for all n'th-neighbor intervals. The sum of these distributions gives the Rossi correlation function. This theory supplies the direct link between the experimentally measured quantities and the theory of the Rossi correlation function.