Network Graph Laplacian-Based Sensor Projection in System-Level Modeling of Liquid-Metal Loop
Author:
Affiliation:
1. Purdue University, School of Nuclear Engineering, 363 Grant Street, 5281 Lambertus Hall, West Lafayette, Indiana 47907
Funder
Nuclear Regulatory Commission’s Research & Development Program
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00295450.2024.2361182
Reference22 articles.
1. G. ROTHWELL, Economics of Nuclear Power, Routledge (2018).
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3. Uncertainty quantification and software risk analysis for digital twins in the nearly autonomous management and control systems: A review
4. Online autonomous calibration of digital twins using machine learning with application to nuclear power plants
5. Deep learning-based unsupervised representation clustering methodology for automatic nuclear reactor operating transient identification
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