Dan Gabriel Cacuci

Quantifying and Counteracting the Impact of Erroneous and/or Incomplete Information via High-Order Predictive Modeling: Methodology and Illustrative Applications to Nuclear Reactor Models

This work highlights the major benefits of applying the “Fourth-Order Best-Estimate Predicted Results with Reduced Uncertainties Predictive Modeling” (4th-BERRU-PM) methodology to quantify and remedy the impact of possibly faulty computational or experimental information. After d...