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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Industry Update—October 2025
Here is a recap of recent industry happenings:
New international partnership to speed Xe-100 SMR deployment
X-energy, Amazon, Korea Hydro & Nuclear Power, and Doosan Enerbility have formed a strategic partnership to accelerate the deployment of X-energy’s Xe-100 small modular reactors and TRISO fuel in the United States to meet the power demands from data centers and AI. The partners will collaborate in reactor engineering design, supply-chain development, construction planning, investment strategies, long-term operations, and global opportunities for joint AI-nuclear deployment. The companies also plan to jointly mobilize as much as $50 billion in public and private investment to support advanced nuclear energy in the U.S.
Hunter Andrews, Supathorn Phongikaroon
Nuclear Technology | Volume 206 | Number 4 | April 2020 | Pages 651-661
Technical Note | doi.org/10.1080/00295450.2019.1670009
Articles are hosted by Taylor and Francis Online.
Cyclic voltammetry (CV) was used to study SmCl3 at concentrations of 0.42 to 8.99 wt% in molten eutectic LiCl-KCl (44.2:55.8 wt%) at 773 K. For each sample, CV was repeated at different electrode surface areas to measure the peak current density. By analyzing the measured peak current density and concentration relationship with the Randles-Sevcik equation, the Sm(III) diffusivity for each sample was calculated. These diffusion coefficients ranged from 0.934 × 10−5 to 1.572 × 10−5 cm2‧s−1, showing no noticeable trend with a change in concentration. The samples were then divided into two groups of five. The first group was used to develop a calibration model for concentration prediction, while the second group was used to test and validate the model. The first model was based on the relationship between current density and concentration. This model had a very low limit of detection of 0.14 wt% and very low error as evaluated by the root-mean-square error of calibration of 0.108 wt%. The second model was a multivariate approach utilizing the current density values and laser-induced breakdown spectroscopy (LIBS) intensities as regressors; however, the introduction of LIBS data showed an increase in the model’s prediction error when compared to the first model. The electrode withdrawal method proved to be a preferable option due to a substantial increase in precision.