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Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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Don’t get boxed in: Entergy CNO Kimberly Cook-Nelson shares her journey
Kimberly Cook-Nelson
For Kimberly Cook-Nelson, the path to the nuclear industry started with a couple of refrigerator boxes and cellophane paper. Her sixth-grade science project was inspired by her father, who worked at Seabrook power station in New Hampshire as a nuclear operator.
“I had two big refrigerator boxes I taped together. I cut the ‘primary operating system’ and the ‘secondary system’ out of them. Then I used different colored cellophane paper to show the pressurized water system versus the steam versus the cold cooling water,” Cook-Nelson said. “My dad got me those little replica pellets that I could pass out to people as they were going by at my science fair.”
Brian C. Kiedrowski, Forrest B. Brown
Nuclear Science and Engineering | Volume 174 | Number 3 | July 2013 | Pages 227-244
Technical Paper | doi.org/10.13182/NSE12-46
Articles are hosted by Taylor and Francis Online.
A continuous-energy Monte Carlo method is developed to compute adjoint-based k-eigenvalue sensitivity coefficients with respect to nuclear data. The method is implemented into MCNP6 and is based upon similar methodologies used to compute other adjoint-weighted quantities. The Monte Carlo tallies employed are explained. Verification of the method is performed by comparing results to analytic solutions, direct density perturbations, and those from other software packages such as TSUNAMI-3D and MONK. Results of analytic solutions agree within a few tenths of a percent. Direct density perturbations and comparisons with other software generally agree within a few percent.
