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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Ho Nieh nominated to the NRC
Nieh
President Trump recently nominated Ho Nieh for the role of commissioner in the Nuclear Regulatory Commission through the remainder of a term that will expire June 30, 2029.
Nieh has been the vice president of regulatory affairs at Southern Nuclear since 2021, though he is currently working as a loaned executive at the Institute of Nuclear Power Operations, where he has been for more than a year.
Nieh’s experience: Nieh started his career at the Knolls Atomic Power Laboratory, where he worked primarily as a nuclear plant engineer and contributed as a civilian instructor in the U.S. Navy’s Nuclear Power Program.
From there, he joined the NRC in 1997 as a project engineer. In more than 19 years of service at the organization, he served in a variety of key leadership roles, including division director of Reactor Projects, division director of Inspection and Regional Support, and director of the Office of Nuclear Reactor Regulation.
R. E. Alcouffe, E. W. Larsen, W. F. Miller, Jr., B. R. Wienke
Nuclear Science and Engineering | Volume 71 | Number 2 | August 1979 | Pages 111-127
Technical Paper | doi.org/10.13182/NSE71-111
Articles are hosted by Taylor and Francis Online.
A study of spatial discretization schemes for the multigroup discrete-ordinates transport equations in slab geometry is described. The purpose of the study is to determine the most computationally efficient method, defined as the one that produces the minimum error for a given cost. We define cost as the total amount of computer time required to complete one inner iteration, given a limit on storage, and we use three error norms to measure the accuracies of edge fluxes, cell average fluxes, and integral parameters. We study three test problems; the first is a model one-group problem we examine in detail, while the second and third are more realistic multigroup problems. Our conclusion is that a new method, labeled linear characteristic, significantly outperforms all other methods that have been implemented up to the present time.