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Katarzyna Borowiec
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Año
Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics
MI Radaideh, K Borowiec, T Kozlowski
Reliability Engineering & System Safety 189, 357-377, 2019
312019
Increasing revenue of nuclear power plants with thermal storage
K Borowiec, A Wysocki, S Shaner, MS Greenwood, M Ellis
Journal of Energy Resources Technology 142 (4), 042006, 2020
232020
FERMI: Fusion Energy Reactor Models Integrator
V Badalassi, A Sircar, JM Solberg, JW Bae, K Borowiec, P Huang, ...
Fusion Science and Technology 79 (3), 345-379, 2023
92023
Comprehensive framework for data-driven model form discovery of the closure laws in thermal-hydraulics codes
K Borowiec, AJ Wysocki, T Kozlowski
International Journal of Heat and Mass Transfer 170, 120976, 2021
82021
Validation and uncertainty quantification for two-phase natural circulation flows using trace code
K Borowiec, T Kozlowski, CS Brooks
Nuclear Science and Engineering 194 (8-9), 737-747, 2020
72020
Bayesian calibration and uncertainty quantification for trace based on PSBT benchmark
C Wang, X Wu, K Borowiec, T Kozlowski
Transactions of the American Nuclear Society 118, 419-422, 2018
72018
Modeling of measurement uncertainty in inverse uncertainty quantification of trace physical model parameters using BFBT benchmark
K Borowiec, T Kozlowski
Best Estimate Plus Uncertainty International Conference 2018, Lucca, Italy, 2018
42018
Uncertainty quantification for steady-state PSBT benchmark using surrogate models
K Borowiec, C Wang, T Kozlowski, CS Brooks
Nuclear Science and Engineering, 2022
3*2022
Analysis of sensitivity and uncertainty quantification for transient simulation with the emphasis on changes in the transient structure
K Borowiec, C Pigg, T Kozlowski
18th International Topical Meeting on Nuclear Reactor Thermal Hydraulics …, 2019
32019
Integrated Fusion Neutronics Workflow for MCNP, OpenMC, and Shift
JW Bae, K Borowiec, A Sircar, V Badalassi
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023
22023
Uncertainty quantification of model-form and predictive uncertainties in nuclear codes using Bayesian framework
MI Radaideh, K Borowiec, T Kozlowski
2019 International Conference on Mathematics and Computational Methods …, 2019
22019
3D high-fidelity automated neutronics guided optimization of fusion blanket designs
K Borowiec, JW Bae, V Badalassi
Fusion Engineering and Design 200, 114159, 2024
12024
Enabling multiphysics simulation of fusion blankets on exascale architecture using OpenFOAM
A Sircar, K Borowiec, JW Bae, V Badalassi
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023
12023
Investigation of the sensitivity of engineering performance metrics to the plasma profiles for the ARC reactor.
K Borowiec, JW Bae, V Badalassi, JM Park
Bulletin of the American Physical Society, 2022
12022
Multiphysics Code Coupling for Fusion Blankets
A Sircar, K Borowiec, JW Bae, J Solberg, V Badalassi
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2022
12022
Integral Analysis of the Effect of Material Dimension and Composition on Tokamak Neutronics
JW Bae, D Young, K Borowiec, V Badalassi
Nuclear Fusion, 2024
2024
Accelerating Scientific Simulations with Bi-Fidelity Weighted Transfer Learning
K Borowiec, D Lu, V Chandan, S Chatterjee, P Ramuhalli, R Tipireddy, ...
2023 International Conference on Machine Learning and Applications (ICMLA …, 2023
2023
Data-driven modeling of MHD turbulence for fusion device blankets
A Sircar, K Borowiec, V Badalassi
Bulletin of the American Physical Society, 2023
2023
Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates
W Brewer, D Martinez, M Gopalakrishnan Meena, A Kashi, K Borowiec, ...
Proceedings of the SC'23 Workshops of The International Conference on High …, 2023
2023
Fuel Conversion Efforts at the High Flux Isotope Reactor–a 2023 Status Update
C Sizemore, K Burg, D Chandler, JW Bae, Z Bacon, K Borowiec, ...
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2023
2023
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