Data-driven surrogate model to predict isotopic composition using dynamic mode decomposition

Keyphrases

• Isotopic Composition 100%
• Fuel Element 100%
• Dynamic Mode Decomposition 100%
• Data-driven Surrogate Model 100%
• Sensitivity Analysis 33%
• Fuel Composition 33%
• Research Reactor 33%
• Fuel Loading 33%
• Training Data 33%
• Reduced Order Modeling 33%
• Uncertainty Propagation 33%
• Uncertainty Characterization 33%
• Testing Data 33%
• Element Test 33%
• Whole-core 33%
• TRIGA Mark II 33%
• Rapid Determination 33%
• Inverse Propagation 33%
• TRIGA Fuel 33%
• Propagating Uncertainty 33%
• Single Element 33%
• Reduced Complexity 33%
• Fuel Concentration 33%
• Forward Propagation 33%

Engineering

• Fuel Element 100%
• Surrogate Model 100%
• Dynamic mode decomposition 100%
• Initial Condition 66%
• Fuel Composition 33%
• Nuclear Reactor 33%
• Core Model 33%
• Element Test 33%
• Fuel Concentration 33%
• Single Element 33%