Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path Forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel

13 October 2022

Papers citing "Surrogate Modeling-Driven Physics-Informed Multi-fidelity Kriging: Path Forward to Digital Twin Enabling Simulation for Accident Tolerant Fuel"

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Title
AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology Kazuma Kobayashi Dinesh Kumar S. B. Alam AI4CE 28 3 0 24 Nov 2022
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System M. Rahman Abid Khan Sayeed Anowar Md. Al Imran Richa Verma Dinesh Kumar Kazuma Kobayashi S. B. Alam AI4CE 13 15 0 30 Sep 2022