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Demonstrative Application to an OECD/NEA Reactor Physics Benchmark of the 2nd-BERRU-PM Method—II: Nominal Computations Apparently Inconsistent with Measurements

Energies (Basel), 2023-08, Vol.16 (15), p.5614

2023

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Demonstrative Application to an OECD/NEA Reactor Physics Benchmark of the 2nd-BERRU-PM Method—I: Nominal Computations Consistent with Measurements

Energies (Basel), 2023-07, Vol.16 (14), p.5552

2023

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Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: I. Effects of Imprecisely Known Microscopic Total and Capture Cross Sections

Energies (Basel), 2019-11, Vol.12 (21), p.4219

2019

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Illustrating Important Effects of Second-Order Sensitivities on Response Uncertainties in Reactor Physics

Journal of Nuclear Engineering, 2021-06, Vol.2 (2), p.114-123

Cacuci, Dan G.

2021

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Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark. VI: Overall Impact of 1st- and 2nd-Order Sensitivities on Response Uncertainties

Energies (Basel), 2020-04, Vol.13 (7), p.1674

2020

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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

Journal of computational physics, 2015-03, Vol.284 (C), p.687-699

Cacuci, Dan G.

2015

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Optimised Adjoint Sensitivity Analysis Using Adjoint Guided Mesh Adaptivity Applied to Neutron Detector Response Calculations

Energies (Basel), 2022-07, Vol.15 (14), p.5102

2022

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A qualitative computational study of mass transfer in upward bubble train flow through square and rectangular mini-channels

Chemical engineering science, 2009-04, Vol.64 (7), p.1416-1435

2009

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Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem

Journal of computational physics, 2015-03, Vol.284 (C), p.700-717

Cacuci, Dan G.

2015

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The Second-Order Adjoint Sensitivity Analysis Methodology for Nonlinear Systems-I: Theory

Nuclear science and engineering, 2016-09, Vol.184 (1), p.16-30

Cacuci, Dan G.

2016

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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”

Nuclear engineering and design, 2019-12, Vol.354, p.110294, Article 110294

Cacuci, Dan G.

2019

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Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: V. Computation of Mixed 2nd-Order Sensitivities Involving Isotopic Number Densities

Energies (Basel), 2020-05, Vol.13 (10), p.2580

2020

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TOWARDS OVERCOMING THE CURSE OF DIMENSIONALITY IN PREDICTIVE MODELLING AND UNCERTAINTY QUANTIFICATION

EPJ Web of conferences, 2021-01, Vol.247, p.20005

2021

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TOWARDS OVERCOMING THE CURSE OF DIMENSIONALITY IN PREDICTIVE MODELLING AND UNCERTAINTY QUANTIFICATION

EPJ Web of conferences, 2021, Vol.247, p.2

2021

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ON THE IMPORTANCE OF SECOND-ORDER RESPONSE SENSITIVITIES TO NUCLEAR DATA IN REACTOR PHYSICS UNCERTAINTY ANALYSIS

EPJ Web of conferences, 2021, Vol.247, p.15021

2021

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The Second-Order Adjoint Sensitivity Analysis Methodology for Nonlinear Systems-II: Illustrative Application to a Nonlinear Heat Conduction Problem

Nuclear science and engineering, 2016-09, Vol.184 (1), p.31-52

Cacuci, Dan G.

2016

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A Paradigm-Shifting Methodology for Sensitivity Analysis of Critical Multiplying Nuclear Systems

Nuclear science and engineering, 2017-03, Vol.185 (3), p.361-383

Cacuci, Dan G.

2017

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Second-Order Adjoint Sensitivity and Uncertainty Analysis of a Heat Transport Benchmark Problem-I: Analytical Results

Nuclear science and engineering, 2016-05, Vol.183 (1), p.1-21

Cacuci, Dan G.

2016

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

Nuclear science and engineering, 2010-05, Vol.165 (1), p.18-44

2010

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Reducing Uncertainties via Predictive Modeling: FLICA4 Calibration Using BFBT Benchmarks

Nuclear science and engineering, 2014-03, Vol.176 (3), p.339-349

2014

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Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions-I: Adjoint Sensitivity Model

Nuclear science and engineering, 2017-03, Vol.185 (3), p.484-548

2017

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Sensitivity and Uncertainty Analysis of Counter-Flow Mechanical Draft Cooling Towers-I: Adjoint Sensitivity Analysis

Nuclear technology, 2017-05, Vol.198 (2), p.85-131

2017

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Predictive Modeling of Coupled Systems: Uncertainty Reduction Using Multiple Reactor Physics Benchmarks

Nuclear science and engineering, 2014-10, Vol.178 (2), p.156-171

2014

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Predictive uncertainty reduction in coupled neutron-kinetics/thermal hydraulics modeling of the BWR-TT2 benchmark

Nuclear engineering and design, 2017-03, Vol.313, p.330-344

2017

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

Nuclear science and engineering, 2016-05, Vol.183 (1), p.22-38

2016

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Demonstrative Application to an OECD/NEA Reactor Physics Benchmark of the 2nd-BERRU-PM Method—II: Nominal Computations Apparently Inconsistent with Measurements

Demonstrative Application to an OECD/NEA Reactor Physics Benchmark of the 2nd-BERRU-PM Method—I: Nominal Computations Consistent with Measurements

Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: I. Effects of Imprecisely Known Microscopic Total and Capture Cross Sections

Illustrating Important Effects of Second-Order Sensitivities on Response Uncertainties in Reactor Physics

Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark. VI: Overall Impact of 1st- and 2nd-Order Sensitivities on Response Uncertainties

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

Optimised Adjoint Sensitivity Analysis Using Adjoint Guided Mesh Adaptivity Applied to Neutron Detector Response Calculations

A qualitative computational study of mass transfer in upward bubble train flow through square and rectangular mini-channels

Second-order adjoint sensitivity analysis methodology (2nd-ASAM) for computing exactly and efficiently first- and second-order sensitivities in large-scale linear systems: II. Illustrative application to a paradigm particle diffusion problem

The Second-Order Adjoint Sensitivity Analysis Methodology for Nonlinear Systems-I: Theory

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”

Comprehensive Second-Order Adjoint Sensitivity Analysis Methodology (2nd-ASAM) Applied to a Subcritical Experimental Reactor Physics Benchmark: V. Computation of Mixed 2nd-Order Sensitivities Involving Isotopic Number Densities

TOWARDS OVERCOMING THE CURSE OF DIMENSIONALITY IN PREDICTIVE MODELLING AND UNCERTAINTY QUANTIFICATION

TOWARDS OVERCOMING THE CURSE OF DIMENSIONALITY IN PREDICTIVE MODELLING AND UNCERTAINTY QUANTIFICATION

ON THE IMPORTANCE OF SECOND-ORDER RESPONSE SENSITIVITIES TO NUCLEAR DATA IN REACTOR PHYSICS UNCERTAINTY ANALYSIS

The Second-Order Adjoint Sensitivity Analysis Methodology for Nonlinear Systems-II: Illustrative Application to a Nonlinear Heat Conduction Problem

A Paradigm-Shifting Methodology for Sensitivity Analysis of Critical Multiplying Nuclear Systems

Second-Order Adjoint Sensitivity and Uncertainty Analysis of a Heat Transport Benchmark Problem-I: Analytical Results

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

Reducing Uncertainties via Predictive Modeling: FLICA4 Calibration Using BFBT Benchmarks

Predictive Modeling of a Buoyancy-Operated Cooling Tower Under Saturated Conditions-I: Adjoint Sensitivity Model

Sensitivity and Uncertainty Analysis of Counter-Flow Mechanical Draft Cooling Towers-I: Adjoint Sensitivity Analysis

Predictive Modeling of Coupled Systems: Uncertainty Reduction Using Multiple Reactor Physics Benchmarks

Predictive uncertainty reduction in coupled neutron-kinetics/thermal hydraulics modeling of the BWR-TT2 benchmark

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

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