Author

Madalina C. Badea

Observed names: Badea, Madalina C, Badea, Madalina Corina, M. C. Badea, Madalina Badea, Madalina C Badea, Madalina Corina Badea

Institution: University of South Carolina

Observed institutions: Karlsruhe Institute of Technology, University of South Carolina

OpenAlex ID: A5036975751

Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: III. Effects of Imprecisely Known Microscopic Fission Cross Sections and Average Number of Neutrons per Fission

2019 · D. G. Cacuci, R. Fang, et al. · Energies · 28

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Best-Estimate Predictions and Model Calibration for Reactor Thermal Hydraulics

2012 · Madalina C. Badea, Dan G. Cacuci, et al. · Nuclear Science and Engineering · 19

Second-Order Adjoint Sensitivity and Uncertainty Analysis of a Heat Transport Benchmark Problem—II: Computational Results Using G4M Reactor Thermal-Hydraulic Parameters

2016 · Dan G. Cacuci, Milica Ilic, et al. · Nuclear Science and Engineering · 18

Predictive modeling of coupled multi-physics systems: II. Illustrative application to reactor physics

2013 · Dan Gabriel Cacuci, Madalina Corina Badea · Annals of Nuclear Energy · 15

A Heat Conduction and Convection Analytical Benchmark for Adjoint Solution Verification of Computational Fluid Dynamics Codes Used in Reactor Design

2016 · Dan G. Cacuci, Ruixian Fang, et al. · Nuclear Science and Engineering · 13

Predictive Modeling of a Paradigm Mechanical Cooling Tower Model: II. Optimal Best-Estimate Results with Reduced Predicted Uncertainties

2016 · Ruixian Fang, Dan Cacuci, et al. · Energies · 5

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MULTI-PRED: A Software Module for Predictive Modeling of Coupled Multi-Physics Systems

2018 · Dan G. Cacuci, Ruixian Fang, et al. · Nuclear Science and Engineering · 4

Efficient computation of operator‐type response sensitivities for uncertainty quantification and predictive modeling: illustrative application to a spent nuclear fuel dissolver model

2016 · Dan G. Cacuci, Aurelian F. Badea, et al. · International Journal for Numerical Methods in Fluids · 4

Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions—II: Optimal Best-Estimate Results with Reduced Predicted Uncertainties

2017 · Federico Di Rocco, Dan G. Cacuci, et al. · Nuclear Science and Engineering · 3

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

2016 · James J. Peltz, Dan G. Cacuci, et al. · Nuclear Science and Engineering · 2

Sensitivity and Uncertainty Analysis of Counter-Flow Mechanical Draft Cooling Towers—II: Predictive Modeling

2017 · Ruixian Fang, Dan G. Cacuci, et al. · Nuclear Technology · 1

Uncertainty Reduction in Calibrated FLICA4 Thermal-Hydraulics Computational Predictions Following Assimilation of Multiple BFBT Benchmark Experimental Data

2013 · Aurelian Florin Badea, D.G. Cacuci, et al. · 1

Uncertainty Reduction in Coupled Neutron-Kinetics / Thermal-Hydraulics Computational Predictions Following Assimilation of BWR-TT Benchmark Experimental Data

2013 · Aurelian Florin Badea, D.G. Cacuci, et al. · 1

Role of Phase and Group Velocities in Cerenkov Radiation and Applications in Hep Experiments

2010 · Madalina C. Badea, I. Lazanu · 1

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

2018 · Los Alamos National Lab. (LANL), Los Alamos, NM (United States), Jeffrey Favorite, et al. · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

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MULTI-PRED: A Software Module for Predictive Modeling of Coupled Multi-Physics Systems: User's Manual

2018 · Dan G. Cacuci, Ruixian Fang, et al. · Lawrence Berkeley National Laboratory

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Thermal Solar Collector Predictive Modeling: I. Adjoint Sensitivity Analysis

2014 · D.G. Cacuci, Aurelian Florin Badea, et al. · Transactions of the American Nuclear Society

Spent Fuel Dissolver Predictive Modeling: II. Uncertainty Reduction via Experimental Data Assimilation

2013 · James J. Peltz, Aurelian Florin Badea, et al.

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

2013 · Dan Gabriel Cacuci, James J. Peltz, et al.

Peculiar morphologies of extended extragalactic radio sources from numerical simulations

2011 · D. A. Lacatus, Madalina C. Badea, et al. · The scientific electronic library of periodicals of the National Academy of Sciences of Ukraine (National Academy of Sciences of Ukraine)

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Best-Estimate Predictions through Consistent Experimental Data Assimilation : Methodology and Paradigm Reactor Physics Applications

2011 · Badea, Madalina Corina · Repository KITopen (Karlsruhe Institute of Technology)

Works count: 22

Citation count: 115

H-index: 5

I10-index: 5