Research Output per year

## Research Output 2003 2020

- 1 - 50 out of 116 results
- Publication Year, Title (descending)

## A possible application of catastrophe theory to boiling water reactor instability

Pázsit, I., Dykin, V., Konno, H. & Kozlowski, T., Jan 2020, In : Progress in Nuclear Energy. 118, 103054.Research output: Contribution to journal › Article

## Advanced BWR criticality safety part I: Model development, model benchmarking, and depletion with uncertainty analysis

Radaideh, M. I., Price, D., O'Grady, D. & Kozlowski, T., May 2019, In : Progress in Nuclear Energy. 113, p. 230-246 17 p.Research output: Contribution to journal › Article

## Advanced BWR criticality safety part II: Cask criticality, burnup credit, sensitivity, and uncertainty analyses

Price, D., Radaideh, M. I., O'Grady, D. & Kozlowski, T., Aug 2019, In : Progress in Nuclear Energy. 115, p. 126-139 14 p.Research output: Contribution to journal › Article

## Analysis of sensitivity and uncertainty quantification for transient simulation with the emphasis on changes in the transient structure

Borowiec, K., Pigg, C. & Kozlowski, T., Jan 1 2019, p. 5239-5252. 14 p.Research output: Contribution to conference › Paper

## A new framework for sampling-based uncertainty quantification of the six-group reactor kinetic parameters

Radaideh, M. I., Wieselquist, W. A. & Kozlowski, T., May 2019, In : Annals of Nuclear Energy. 127, p. 1-11 11 p.Research output: Contribution to journal › Article

## Application of discrete adjoint method to sensitivity and uncertainty analysis in steady-state two-phase flow simulations

Hu, G. & Kozlowski, T., Apr 2019, In : Annals of Nuclear Energy. 126, p. 122-132 11 p.Research output: Contribution to journal › Article

## Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling

Radaideh, M. I. & Kozlowski, T., Nov 1 2019, In : International Journal of Energy Research. 43, 14, p. 7866-7890 25 p.Research output: Contribution to journal › Article

## Coupling Methods for HTR-PM Multicircuit Problem

Lu, J., Guo, J., Kozlowski, T. & Li, F., Feb 1 2019, In : Nuclear Science and Engineering. 193, 1-2, p. 131-146 16 p.Research output: Contribution to journal › Article

## Data-Driven and Precursor-Group Uncertainty Propagation of Lattice Kinetic Parameters in UAM Benchmark

Radaideh, M. I., Kozlowski, T., Wieselquist, W. A. & Jessee, M. A., Jan 1 2019, In : Science and Technology of Nuclear Installations. 2019, 3702014.Research output: Contribution to journal › Article

## Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification

Wu, X., Shirvan, K. & Kozlowski, T., Nov 1 2019, In : Journal of Computational Physics. 396, p. 12-30 19 p.Research output: Contribution to journal › Article

## Determination and validation of photon energy absorption buildup factor in human tissues using Monte Carlo simulation

Jarrah, I., Radaideh, M. I., Kozlowski, T. & Rizwan-uddin, Jul 2019, In : Radiation Physics and Chemistry. 160, p. 15-25 11 p.Research output: Contribution to journal › Article

## Development and assessment of adjoint sensitivity analysis method for transient two-phase flow simulations

Hu, G. & Kozlowski, T., Jan 1 2019, p. 2246-2259. 14 p.Research output: Contribution to conference › Paper

## Effect of mesh refinement on the estimation of model input parameters using Inverse Uncertainty Quantification

Abu Saleem, R. A. & Kozlowski, T., Oct 2019, In : Annals of Nuclear Energy. 132, p. 271-276 6 p.Research output: Contribution to journal › Article

## Estimation of probability Density Functions for model input parameters using inverse uncertainty quantification with bias terms

Abu Saleem, R. A. & Kozlowski, T., Nov 2019, In : Annals of Nuclear Energy. 133, p. 1-8 8 p.Research output: Contribution to journal › Article

## Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics

Radaideh, M. I., Borowiec, K. & Kozlowski, T., Sep 2019, In : Reliability Engineering and System Safety. 189, p. 357-377 21 p.Research output: Contribution to journal › Article

## Inverse uncertainty quantification by hierarchical Bayesian inference for TRACE physical model parameters based on BFBT benchmark

Wang, C., Wu, X. & Kozlowski, T., Jan 1 2019, p. 4795-4807. 13 p.Research output: Contribution to conference › Paper

## Loss of coolant accident analysis under restriction of reverse flow

Radaideh, M. I., Kozlowski, T. & Farawila, Y. M., Sep 2019, In : Nuclear Engineering and Technology. 51, 6, p. 1532-1539 8 p.Research output: Contribution to journal › Article

## On the approximate Riemann solver for the two-phase two-fluid six equation model and application to real system

Hu, G. & Kozlowski, T., Jan 2019, In : Nuclear Engineering and Design. 341, p. 415-422 8 p.Research output: Contribution to journal › Article

## Shapley effect application for variance-based sensitivity analysis of the few-group cross-sections

Radaideh, M. I., Surani, S., O'Grady, D. & Kozlowski, T., Jul 2019, In : Annals of Nuclear Energy. 129, p. 264-279 16 p.Research output: Contribution to journal › Article

## Uncertainty analysis of rod ejection accident in VVER-1000 reactor

Miglierini, B., Kozlowski, T. & Kopecek, V., Oct 2019, In : Annals of Nuclear Energy. 132, p. 628-635 8 p.Research output: Contribution to journal › Review article

## Validation and uncertainty quantification for two-phase natural circulation flows using trace code

Borowiec, K., Kozlowski, T. & Brooks, C. S., Jan 1 2019, p. 4615-4623. 9 p.Research output: Contribution to conference › Paper

## Adjoint sensitivity analysis of the two-phase two-fluid model

Hu, G. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 118, p. 1169-1172 4 p.Research output: Contribution to journal › Conference article

## Adjoint sensitivity analysis of the two-phase two-fluid model

Hu, G. & Kozlowski, T., Jan 1 2018,*AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition.*Association for Iron and Steel Technology, AISTECH, p. 1169-1172 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Application of continuous adjoint method to steady-state two-phase flow simulations

Hu, G. & Kozlowski, T., Jul 2018, In : Annals of Nuclear Energy. 117, p. 202-212 11 p.Research output: Contribution to journal › Article

## Application of implicit Roe-type scheme and Jacobian-Free Newton-Krylov method to two-phase flow problems

Hu, G. & Kozlowski, T., Sep 2018, In : Annals of Nuclear Energy. 119, p. 180-190 11 p.Research output: Contribution to journal › Article

## A roe-type numerical solver for the two-phase two-fluid six-equation model with realistic equation of state

Hu, G. & Kozlowski, T., Jan 2018, In : Nuclear Engineering and Design. 326, p. 354-370 17 p.Research output: Contribution to journal › Article

## Bayesian calibration and uncertainty quantification for trace based on PSBT benchmark

Wang, C., Wu, X., Borowiec, K. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 118, p. 419-422 4 p.Research output: Contribution to journal › Conference article

## Bayesian calibration and uncertainty quantification for TRACE based on PSBT benchmark

Wang, C., Wu, X., Borowiec, K. & Kozlowski, T., Jan 1 2018,*AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition.*Association for Iron and Steel Technology, AISTECH, p. 419-422 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Confirmation of Wilks’ method applied to TRACE model of boiling water reactor spray cooling experiment

Mui, T. & Kozlowski, T., Jul 2018, In : Annals of Nuclear Energy. 117, p. 53-59 7 p.Research output: Contribution to journal › Article

## Coupling methods for HTR-PM primary circuit

Lu, J., Guo, J., Kozlowski, T. & Li, F., Jun 2018, In : Annals of Nuclear Energy. 116, p. 20-30 11 p.Research output: Contribution to journal › Article

## Criticality and uncertainty assessment of assembly misloading in BWR transportation cask

Radaideh, M. I., Price, D. & Kozlowski, T., Mar 2018, In : Annals of Nuclear Energy. 113, p. 1-14 14 p.Research output: Contribution to journal › Article

## Gaussian Process–Based Inverse Uncertainty Quantification for TRACE Physical Model Parameters Using Steady-State PSBT Benchmark

Wang, C., Wu, X. & Kozlowski, T., Jan 1 2018, (Accepted/In press) In : Nuclear Science and Engineering.Research output: Contribution to journal › Article

## Implicit second-order scheme for steady-state thermal-hydraulic simulations

Hu, G. & Kozlowski, T., Jan 1 2018,*AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition.*Association for Iron and Steel Technology, AISTECH, p. 1165-1168 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Implicit second-order scheme for steady-state thermal-hydraulic simulations

Hu, G. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 118, p. 1165-1168 4 p.Research output: Contribution to journal › Conference article

## Inverse uncertainty quantification of trace physical model parameters using BFBT benchmark with investigation of measurement bias

Borowiec, K. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 118, p. 437-440 4 p.Research output: Contribution to journal › Conference article

## Inverse uncertainty quantification of trace physical model parameters using BFBT benchmark with investigation of measurement bias

Borowiec, K. & Kozlowski, T., Jan 1 2018,*AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition.*Association for Iron and Steel Technology, AISTECH, p. 437-440 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory

Wu, X., Kozlowski, T., Meidani, H. & Shirvan, K., Aug 15 2018, In : Nuclear Engineering and Design. 335, p. 339-355 17 p.Research output: Contribution to journal › Article

## Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian Process, Part 2: Application to TRACE

Wu, X., Kozlowski, T., Meidani, H. & Shirvan, K., Aug 15 2018, In : Nuclear Engineering and Design. 335, p. 417-431 15 p.Research output: Contribution to journal › Article

## Investigation of VVER-1000 rod ejection accident according to the Phenomenon Identification and Ranking Tables for PWR

Miglierini, B. & Kozlowski, T., Sep 2018, In : Progress in Nuclear Energy. 108, p. 438-444 7 p.Research output: Contribution to journal › Article

## Kriging-based inverse uncertainty quantification of nuclear fuel performance code BISON fission gas release model using time series measurement data

Wu, X., Kozlowski, T. & Meidani, H., Jan 2018, In : Reliability Engineering and System Safety. 169, p. 422-436 15 p.Research output: Contribution to journal › Article

## On the connection between sensitivity and identifiability for inverse uncertainty quantification

Wu, X., Shirvan, K. & Kozlowski, T., Jan 1 2018,*AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition.*Association for Iron and Steel Technology, AISTECH, p. 411-414 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## On the connection between sensitivity and identifiability for inverse uncertainty quantification

Wu, X., Shirvan, K. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 118, p. 411-414 4 p.Research output: Contribution to journal › Conference article

## Simulation of PWR load follow operation using VERA-CS

O'Grady, D., Mui, T. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 119, p. 1065-1068 4 p.Research output: Contribution to journal › Conference article

## Validating trace void fraction predictive capability using the quantitative area validation metric

Wu, X., Shirvan, K. & Kozlowski, T., Jan 1 2018, In : Transactions of the American Nuclear Society. 118, p. 423-426 4 p.Research output: Contribution to journal › Conference article

## Validating TRACE void fraction predictive capability using the quantitative area validation metric

Wu, X., Shirvan, K. & Kozlowski, T., Jan 1 2018,*AISTech 2018 Proceedings - Iron and Steel Technology Conference and Exposition.*Association for Iron and Steel Technology, AISTECH, p. 423-426 4 p. (AISTech - Iron and Steel Technology Conference Proceedings; vol. 2018-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

## A high-order numerical solver for the two-phase two-fluid six-equation model with realistic equation of state

Hu, G. & Kozlowski, T., Jan 1 2017, In : Transactions of the American Nuclear Society. 117, p. 1753-1756 4 p.Research output: Contribution to journal › Conference article

## Analysis of a small PWR core with the PARCS/Helios and PARCS/Serpent code systems

Baiocco, G., Petruzzi, A., Bznuni, S. & Kozlowski, T., Sep 1 2017, In : Annals of Nuclear Energy. 107, p. 42-48 7 p.Research output: Contribution to journal › Article

## Analysis of Oskarshamn-2 stability event using TRACE/SIMULATE-3K and comparison to TRACE/PARCS and SIMULATE-3K stand-alone

Dokhane, A., Judd, J., Gajev, I., Zerkak, O., Ferroukhi, H. & Kozlowski, T., Apr 1 2017, In : Annals of Nuclear Energy. 102, p. 190-199 10 p.Research output: Contribution to journal › Article

## Inverse uncertainty quantification of reactor simulations under the Bayesian framework using surrogate models constructed by polynomial chaos expansion

Wu, X. & Kozlowski, T., Mar 1 2017, In : Nuclear Engineering and Design. 313, p. 29-52 24 p.Research output: Contribution to journal › Article

## Inverse uncertainty quantification of TRACE physical model parameters using sparse gird stochastic collocation surrogate model

Wu, X., Mui, T., Hu, G., Meidani, H. & Kozlowski, T., Aug 1 2017, In : Nuclear Engineering and Design. 319, p. 185-200 16 p.Research output: Contribution to journal › Article