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The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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April 8–10, 2021
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NC State celebrates 70 years of nuclear engineering education
An early picture of the research reactor building on the North Carolina State University campus. The Department of Nuclear Engineering is celebrating the 70th anniversary of its nuclear engineering curriculum in 2020–2021. Photo: North Carolina State University
The Department of Nuclear Engineering at North Carolina State University has spent the 2020–2021 academic year celebrating the 70th anniversary of its becoming the first U.S. university to establish a nuclear engineering curriculum. It started in 1950, when Clifford Beck, then of Oak Ridge, Tenn., obtained support from NC State’s dean of engineering, Harold Lampe, to build the nation’s first university nuclear reactor and, in conjunction, establish an educational curriculum dedicated to nuclear engineering.
The department, host to the 2021 ANS Virtual Student Conference, scheduled for April 8–10, now features 23 tenure/tenure-track faculty and three research faculty members. “What a journey for the first nuclear engineering curriculum in the nation,” said Kostadin Ivanov, professor and department head.
Thomas E. Booth
Nuclear Science and Engineering | Volume 166 | Number 2 | October 2010 | Pages 175-178
Technical Note | dx.doi.org/10.13182/NSE09-101
Articles are hosted by Taylor and Francis Online.
This technical note shows that it is possible and effective to use Monte Carlo variance-reduction methods for the probability of initiation problem. The benefits are threefold. First, the proper use of variance reduction obviates using an arbitrary definition of a “divergent chain.” Second, because chains of all lengths are allowed, there is no bias introduced by ignoring some long chains because they meet the divergent chain definition. Third, variance-reduction methods might drastically increase the efficiency of some of these calculations.