Digital Twin Concepts with Uncertainty for Nuclear Power Applications
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- Zio, Enrico & Miqueles, Leonardo, 2024. "Digital twins in safety analysis, risk assessment and emergency management," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
- Molly Ross & T-Ying Lin & Daniel Gould & Sanjoy Das & Hitesh Bindra, 2022. "Projecting the Thermal Response in a HTGR-Type System during Conduction Cooldown Using Graph-Laplacian Based Machine Learning," Energies, MDPI, vol. 15(11), pages 1-14, May.
- Harleen Kaur Sandhu & Saran Srikanth Bodda & Abhinav Gupta, 2023. "A Future with Machine Learning: Review of Condition Assessment of Structures and Mechanical Systems in Nuclear Facilities," Energies, MDPI, vol. 16(6), pages 1-23, March.
- Konstantinos Prantikos & Lefteri H. Tsoukalas & Alexander Heifetz, 2022. "Physics-Informed Neural Network Solution of Point Kinetics Equations for a Nuclear Reactor Digital Twin," Energies, MDPI, vol. 15(20), pages 1-22, October.
- Raval, Khushi Jatinkumar & Jadav, Nilesh Kumar & Rathod, Tejal & Tanwar, Sudeep & Vimal, Vrince & Yamsani, Nagendar, 2024. "A survey on safeguarding critical infrastructures: Attacks, AI security, and future directions," International Journal of Critical Infrastructure Protection, Elsevier, vol. 44(C).
- Lorenzo Malerba & Abderrahim Al Mazouzi & Marjorie Bertolus & Marco Cologna & Pål Efsing & Adrian Jianu & Petri Kinnunen & Karl-Fredrik Nilsson & Madalina Rabung & Mariano Tarantino, 2022. "Materials for Sustainable Nuclear Energy: A European Strategic Research and Innovation Agenda for All Reactor Generations," Energies, MDPI, vol. 15(5), pages 1-48, March.
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Keywords
digital twin; nuclear power; uncertainty quantification;All these keywords.
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