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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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Latest News
Hinkley Point C gets over $6 billion in financing from Apollo
U.S.-based private capital group Apollo Global has committed £4.5 billion ($6.13 billion) in financing to EDF Energy, primarily to support the U.K.’s Hinkley Point C station. The move addresses funding needs left unmet since China General Nuclear Power Corporation—which originally planned to pay for one-third of the project—exited in 2023 amid U.K. government efforts to reduce Chinese involvement.
T. J. Hoffman, L. M. Petrie, N. F. Landers
Nuclear Science and Engineering | Volume 66 | Number 1 | April 1978 | Pages 60-66
Technical Paper | doi.org/10.13182/NSE78-A15187
Articles are hosted by Taylor and Francis Online.
In this paper, a Monte Carlo method for the calculation of the change in the neutron multiplication factor of a reactor due to cross-section perturbations is developed. Although similar to the perturbation source method developed by Matthes, this method is not limited to problems in which first-order perturbation theory is applicable. This method has been implemented in the KENO computer code and applied to a variety of problems. The results of these calculations are presented in this paper. This approach should prove useful in the solution of problems in which other Monte Carlo methods, such as Matthes' first-order perturbation source method and correlated sampling, fail.
