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Journal Articles

Operation Optimization Framework for Advanced Reactors Using a Data Driven Digital Twin

Accepted Manuscript
Andy Rivas, Gregory Delipei, Jason Hou
Journal: Journal of Nuclear Engineering and Radiation Science
Publisher: ASME
Article Type: Research-Article
ASME J of Nuclear Rad Sci.
Paper No: NERS-24-1017
https://doi.org/10.1115/1.4066777
Published Online: October 4, 2024
View Article titled, Operation Optimization Framework for Advanced Reactors Using a Data Driven Digital Twin
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Topics: Digital twin, Optimization, Maintenance, Nuclear reactors, Actuators, Artificial intelligence, Bayesian network, Carbon, Feedforward neural networks, Genetic algorithms
Journal Articles

Machine Learning Metamodel of a Computationally Intense LOCA Code

Landon A. Conner, Clarence L. Worrell, Jun Liao, James P. Spring, Reza A. Karimi, Jeremy S. Marquardt, Joseph D. Wieder
Journal: Journal of Nuclear Engineering and Radiation Science
Publisher: ASME
Article Type: Research-Article
ASME J of Nuclear Rad Sci. July 2023, 9(3): 031402.
Paper No: NERS-22-1002
https://doi.org/10.1115/1.4056465
Published Online: February 8, 2023
View Article titled, Machine Learning Metamodel of a Computationally Intense LOCA Code
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Topics: Artificial neural networks, Genetic algorithms, Machine learning, Safety, Pressurized water reactors
Journal Articles

Preliminary Evaluation of the LASSO Method for Prediction of the Relative Power Density Distribution in Mixed Oxide (Pu, DU)O 2 Fuel Pellets

C. V. Anghel, B. P. Bromley, A. A. Prudil, M. J. Welland
Journal: Journal of Nuclear Engineering and Radiation Science
Publisher: ASME
Article Type: Research-Article
ASME J of Nuclear Rad Sci. April 2022, 8(2): 021502.
Paper No: NERS-20-1192
https://doi.org/10.1115/1.4050767
Published Online: October 19, 2021
View Article titled, Preliminary Evaluation of the LASSO Method for Prediction of the Relative Power Density Distribution in Mixed Oxide (Pu, DU)O 2 Fuel Pellets
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Topics: Fuels, Machine learning, Physics, Power density, Neutrons, Heavy water reactors
Includes: Supplementary data
Journal Articles

Developing and Implementing Artificial Intelligence-Based Classifier for Requirements Engineering

Santeri Myllynen, Ilpo Suominen, Tapani Raunio, Rasmus Karell, Jussi Lahtinen
Journal: Journal of Nuclear Engineering and Radiation Science
Publisher: ASME
Article Type: Research-Article
ASME J of Nuclear Rad Sci. October 2021, 7(4): 041201.
Paper No: NERS-20-1102
https://doi.org/10.1115/1.4049722
Published Online: April 16, 2021
View Article titled, Developing and Implementing Artificial Intelligence-Based Classifier for Requirements Engineering
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Topics: Algorithms, Design, Engineering disciplines, Natural language processing, Safety, Nuclear power stations, Decision making, Nuclear power, Workflow, Artificial intelligence