@inproceedings{01df9269fec349c6af225d1efe6acc87,
title = "Development of a Steady State Reactor Physics Surrogate Model for the Idaho State University AGN-201 Digital Twin Using MOOSE",
abstract = "Due to the growing popularity of nuclear power as a solution to carbon-free energy, there is a need for innovative approaches to increase the efficiency and effectiveness of international saf eguards. The use of digital twins to monitor reactors is one such proposed solution. This paper demonstrates how the MOOSE framework can be utilized to develop a surrogate model of an existing reactor for use in a digital twin. Using pertinent material and geometric data from the physical asset, a surrogate model was created that preserves basic physical qualities while significantly cutting down on computation costs. The implications for more complex and advanced reactors are significant given the integrated multi-physics capabilities of MOOSE.",
keywords = "Digital Twin, Griffin, MOOSE, Safeguards, Surrogate Model",
author = "Williams, \{Quinton J.\} and Stewart, \{Ryan H.\} and Palmer, \{Todd S.\} and Palmer, \{Camille J.\} and Chad Pope and Ashley Shields and Christopher Ritter",
note = "Publisher Copyright: {\textcopyright} 2024 AMERICAN NUCLEAR SOCIETY. All rights reserved.; 2024 International Conference on Physics of Reactors, PHYSOR 2024 ; Conference date: 21-04-2024 Through 24-04-2024",
year = "2024",
doi = "10.13182/PHYSOR24-43683",
language = "English",
series = "Proceedings of the International Conference on Physics of Reactors, PHYSOR 2024",
publisher = "American Nuclear Society",
pages = "389--398",
booktitle = "Proceedings of the International Conference on Physics of Reactors, PHYSOR 2024",
}