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Uncertainty Quantification and Sensitivity analysis for Digital Twin
  Enabling Technology: Application for BISON Fuel Performance Code

Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code

14 October 2022
Kazuma Kobayashi
Dinesh Kumar
M. Bonney
S. Chakraborty
Kyle Paaren
S. B. Alam
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Papers citing "Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code"

1 / 1 papers shown
Title
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer
  Learning with Uncertainty Quantification Incorporated into Digital Twin for
  Nuclear System
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
42
15
0
30 Sep 2022
1