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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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NN Asks: What did you learn from ANS’s Nuclear 101?
Mike Harkin
When ANS first announced its new Nuclear 101 certificate course, I was excited. This felt like a course tailor-made for me, a transplant into the commercial nuclear world. I enrolled for the inaugural session held in November 2024, knowing it was going to be hard (this is nuclear power, of course)—but I had been working on ramping up my knowledge base for the past year, through both my employer and at a local college.
The course was a fast-and-furious roller-coaster ride through all the key components of the nuclear power industry, in one highly challenging week. In fact, the challenges the students experienced caught even the instructors by surprise. Thankfully, the shared intellectual stretch we students all felt helped us band together to push through to the end.
We were all impressed with the quality of the instructors, who are some of the top experts in the field. We appreciated not only their knowledge base but their support whenever someone struggled to understand a concept.
Paul Nelson, Harold D. Meyer
Nuclear Science and Engineering | Volume 64 | Number 2 | October 1977 | Pages 638-643
Technical Paper | doi.org/10.13182/NSE77-A27396
Articles are hosted by Taylor and Francis Online.
The problem considered in this paper is the continuous-energy, continuous-space time-independent neutron-diffusion equation, with given source and zero flux at the boundary. The basic result is that Galerkin-type spectral synthesis approximations converge optimally to the exact solution as the number of trial spectra increases, provided the diffusion coefficient and total macroscopic cross section are spatially homogeneous, and other (more) reasonable conditions of a technical nature are satisfied. The proof makes use of the general results of Pol'skii, which give sufficient conditions for the convergence of any projection method using the same trial and test spaces. As an application of the basic result, it is shown that the classic multigroup method converges optimally provided the maximum group width over any fixed bounded energy interval approaches zero. Several directions are indicated for possible related future work.