Dan G. Cacuci

发表

The european project NURISP for nuclear reactor simulation

Carolina Ahnert Iglesias, D. Bestion, Nicolas Crouzet, 2010 .

Predictive Modeling of a Buoyancy-Operated Cooling Tower under Unsaturated Conditions: Adjoint Sensitivity Model and Optimal Best-Estimate Results with Reduced Predicted Uncertainties

Dan G. Cacuci, Federico Di Rocco, D. Cacuci, 2016 .

Applications of The Adjoint Sensitivity Analysis Procedure (Asap) to Two-Phase Flow Systems

Dan G. Cacuci, I. M. Navon, Mihaela Ionescu-Bujor, 2005 .

Predictive modeling methodology for obtaining optimally predicted results with reduced uncertainties: Illustrative application to a simulated solar collector facility

Dan G. Cacuci, Aurelian F. Badea, D. Cacuci, 2015 .

Spent Fuel Dissolver Predictive Modeling: I. Application of the Adjoint Sensitivity Analysis Methodology for Nonlinear Systems with Operator-Type Responses

Dan G. Cacuci, Aurelian F. Badea, James J. Peltz, 2013 .

Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: I. Computational methodology

Dan G. Cacuci, 2015, J. Comput. Phys..

Dielectric signatures and interpretive analysis for changes of state in composite materials

Kenneth Reifsnider, Dan G. Cacuci, Rassel Raihan, 2015 .

Deterministic Sensitivity and Uncertainty Methodology for Best Estimate System Codes applied in Nuclear Technology

Francesco Saverio D'Auria, Alessandro Petruzzi, Dan G. Cacuci, 2009 .

Berru Predictive Modeling For Single Multiphysics Systems (Berru-Sms)

Dan G. Cacuci, 2019 .

Validated predictive computational methods for surface charge in heterogeneous functional materials: HeteroFoaM™

Fazle Rabbi, Dan G. Cacuci, Jeffrey Baker, 2015 .

Nuclear engineering fundamentals

Dan G. Cacuci, Dan G. Cacuci, D. Cacuci, 2010 .

Predictive Modeling Applied to a Spent Fuel Dissolver Model—II: Uncertainty Quantification and Reduction

Dan G. Cacuci, Aurelian F. Badea, James J. Peltz, 2016 .

Elements of high-order predictive model calibration algorithms with applications to large-scale reactor physics systems

Dan G. Cacuci, Yousry Y. Azmy, William Cyrus Proctor, 2012 .

Simulations numériques d’écoulements diphasiques gaz-liquide par la méthode de volume fini dans des géométries confines

Martin Wörner, B. E. Ghidersa, Dan G. Cacuci, 2005 .

Predictive Modeling of a Paradigm Mechanical Cooling Tower: I. Adjoint Sensitivity Model

Ruixian Fang, Dan G. Cacuci, D. Cacuci, 2016 .

Sensitivity and Uncertainty Analysis of Models and Data

Dan G. Cacuci, D. Cacuci, 2010 .

Forward and Adjoint Sensitivity Analysis Procedures For Augmented Systems

Dan G. Cacuci, I. M. Navon, Mihaela Ionescu-Bujor, 2005 .

A heat transport benchmark problem for predicting the impact of measurements on experimental facility design

Dan G. Cacuci, D. Cacuci, 2016 .

Reducing Uncertainties via Predictive Modeling: FLICA4 Calibration Using BFBT Benchmarks

Dan G. Cacuci, Erkan Arslan, D. Cacuci, 2014 .

Predictive Modeling, Inverse Problems, and Uncertainty Quantification with Application to Emergency Response

Ruixian Fang, Jeffrey A. Favorite, Dan G. Cacuci, 2018 .

NURESIM – A European simulation platform for nuclear reactor safety: Multi-scale and multi-physics calculations, sensitivity and uncertainty analysis

D. Bestion, Frank-Peter Weiss, Nicolas Crouzet, 2011 .

Reprint of “Nuclear thermal-hydraulics applications illustrating the key roles of adjoint-computed sensitivities for overcoming the curse of dimensionality in sensitivity analysis, uncertainty quantification and predictive modeling”

Dan G. Cacuci, D. Cacuci, 2019 .

Best-Estimate Model Calibration and Prediction through Experimental Data Assimilation—I: Mathematical Framework

Dan G. Cacuci, Mihaela Ionescu-Bujor, D. Cacuci, 2010 .

BERRU Predictive Modeling: Best Estimate Results with Reduced Uncertainties

Dan G. Cacuci, 2018 .

Berru-Cms Predictive Modeling Of Coupled Multiphysics Systems

Dan G. Cacuci, 2019 .

PIONEER: A Robot for Structural Assessment of the Chornobyl Shelter

Michael A. Catalan, Dan G. Cacuci, Bruce R. Thompson, 2001 .

Dan G. Cacuci, 2015, J. Comput. Phys..

Dimensionally adaptive dynamic switching and adjoint sensitivity analysis: new features of the RELAP5/PANBOX/COBRA code system for reactor safety transients

Dan G. Cacuci, D. Cacuci, 2000 .