CORRECTION article
Front. Nucl. Eng.
Sec. Nuclear Safety
This article is part of the Research TopicAdvancing Nuclear Engineering through Artificial Intelligence and Machine LearningView all 3 articles
Correction: An Entropy-Based Debiasing Approach to Quantifying Experimental Coverage for Novel Applications of Interest in the Nuclear Community
Provisionally accepted
- 1Purdue University, West Lafayette, United States
- 2Oak Ridge National Laboratory, Nuclear Energy and Fuel Cycle Division, Oak Ridge, TN, United States
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The Licenses and Permissions statement was erroneously omitted. The correct statement is as follows:"This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-publicaccess-plan)." The copyright for this article was incorrectly written as "© 2025 Sundaram, Yin, Mertyurek and Abdel-Khalik. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms."The correct statement is "© 2025 This work is authored in part by Arvind Sundaram, Shiming Yin, Ugur Mertyurek and Hany Abdel-Khalik, © UT-Battelle LLC. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms."End of template. If you would like to request a correction for a reason not seen here, please contact the journal's editorial office.
Keywords: experimental coverage, Similarity analysis, nuclear criticality analysis, Bayesian data assimilation, uncertainty quantification, Criticality safety
Received: 31 Oct 2025; Accepted: 07 Nov 2025.
Copyright: © 2025 Sundaram, Yin, Mertyurek and Abdel-Khalik. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ugur Mertyurek, mertyureku@ornl.gov
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