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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Matt Wald on nuclear power
Wald
Matt Wald, an independent energy analyst and a writer who contributes to the Breakthrough Institute and has written feature articles for Nuclear News, recently shared his nuclear perspectives in a Zoom talk with Friends of Oak Ridge National Laboratory, a nonprofit organization dedicated to fostering ORNL’s scientific goals.
Missed opportunity: Wald, a former reporter for The New York Times and a former policy analyst for the Nuclear Energy Institute, feels that the nuclear industry and community “have committed industrial sin. Nuclear suffered through a long drought, and now it sees terrific demand for its product, and it’s not ready to deliver the needed electricity.”
William Boyd, Adam Nelson, Paul K. Romano, Samuel Shaner, Benoit Forget, Kord Smith
Nuclear Technology | Volume 205 | Number 7 | July 2019 | Pages 928-944
Regular Technical Paper | doi.org/10.1080/00295450.2019.1571828
Articles are hosted by Taylor and Francis Online.
High-fidelity deterministic transport codes require highly accurate multigroup cross sections (MGXS). Monte Carlo is increasingly cited as a reactor-agnostic approach to MGXS generation since it is unconstrained by the engineering-based approximations that limit the applicability of deterministic MGXS generation tools. This paper introduces a new framework that uses the OpenMC Monte Carlo code to generate MGXS for use in multigroup transport codes. The openmc.mgxs module is built atop OpenMC’s Python application programming interface to process tally data output by the OpenMC executable. This paper validates the module to generate MGXS that enable the multigroup OpenMOC transport code to compute eigenvalues to within 50 pcm and fission rates to within 1% of reference solutions for two heterogeneous pressurized water reactor benchmarks.