This content will become publicly available on August 15, 2020
Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling
- Authors:
- Department of Nuclear, Plasma, and Radiological EngineeringUniversity of Illinois at Urbana Champaign Urbana Illinois
- Publication Date:
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1563010
- Grant/Contract Number:
- 16-10908; NE0008573
- Resource Type:
- Publisher's Accepted Manuscript
- Journal Name:
- International Journal of Energy Research
- Additional Journal Information:
- Journal Name: International Journal of Energy Research; Journal ID: ISSN 0363-907X
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United Kingdom
- Language:
- English
Citation Formats
Radaideh, Majdi I., and Kozlowski, Tomasz. Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling. United Kingdom: N. p., 2019.
Web. doi:10.1002/er.4698.
Radaideh, Majdi I., & Kozlowski, Tomasz. Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling. United Kingdom. doi:10.1002/er.4698.
Radaideh, Majdi I., and Kozlowski, Tomasz. Fri .
"Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling". United Kingdom. doi:10.1002/er.4698.
@article{osti_1563010,
title = {Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling},
author = {Radaideh, Majdi I. and Kozlowski, Tomasz},
abstractNote = {},
doi = {10.1002/er.4698},
journal = {International Journal of Energy Research},
number = ,
volume = ,
place = {United Kingdom},
year = {2019},
month = {8}
}
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DOI: 10.1002/er.4698
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Works referenced in this record:
Hybrid reduced order modeling applied to nonlinear models: HYBRID APPLICATION OF ORDER REDUCTION METHODS
journal, July 2012
- Bang, Youngsuk; Abdel-Khalik, Hany S.; Hite, Jason M.
- International Journal for Numerical Methods in Engineering, Vol. 91, Issue 9
Coupled neutronic thermo-hydraulic analysis of full PWR core with Monte-Carlo based BGCore system
journal, September 2011
- Kotlyar, D.; Shaposhnik, Y.; Fridman, E.
- Nuclear Engineering and Design, Vol. 241, Issue 9
Multidimensional multiphysics simulation of nuclear fuel behavior
journal, April 2012
- Williamson, R. L.; Hales, J. D.; Novascone, S. R.
- Journal of Nuclear Materials, Vol. 423, Issue 1-3
Nuclear data sensitivity, uncertainty and target accuracy assessment for future nuclear systems
journal, May 2006
- Aliberti, G.; Palmiotti, G.; Salvatores, M.
- Annals of Nuclear Energy, Vol. 33, Issue 8
Deep learning
journal, May 2015
- LeCun, Yann; Bengio, Yoshua; Hinton, Geoffrey
- Nature, Vol. 521, Issue 7553
Dimensionality reducibility for multi-physics reduced order modeling
journal, December 2017
- Huang, Dongli; Abdel-Khalik, Hany; Rabiti, Cristian
- Annals of Nuclear Energy, Vol. 110
Factorial Sampling Plans for Preliminary Computational Experiments
journal, May 1991
- Morris, Max D.
- Technometrics, Vol. 33, Issue 2
NUPEC BWR Full-size Fine-mesh Bundle Test (BFBT) Benchmark
journal, November 2006
- Utsuno, H.; Hochreiter, L.; Kasahara, F.
- OECD Papers, Vol. 6, Issue 7
David Draper and E. I. George, and a rejoinder by the authors
journal, November 1999
- Volinsky, Chris T.; Raftery, Adrian E.; Madigan, David
- Statistical Science, Vol. 14, Issue 4
Polynomial Theory of Complex Systems
journal, October 1971
- Ivakhnenko, A. G.
- IEEE Transactions on Systems, Man, and Cybernetics, Vol. SMC-1, Issue 4
Application of implicit Roe-type scheme and Jacobian-Free Newton-Krylov method to two-phase flow problems
journal, September 2018
- Hu, Guojun; Kozlowski, Tomasz
- Annals of Nuclear Energy, Vol. 119
Loss of coolant accident analysis under restriction of reverse flow
journal, September 2019
- Radaideh, Majdi I.; Kozlowski, Tomasz; Farawila, Yousef M.
- Nuclear Engineering and Technology, Vol. 51, Issue 6
A study of double functions and load matching of a phosphoric acid fuel cell/heat-driven refrigerator hybrid system
journal, April 2016
- Chen, Xiaohang; Wang, Yuan; Zhao, Yingru
- Energy, Vol. 101
A generalized adjoint framework for sensitivity and global error estimation in time-dependent nuclear reactor simulations
journal, February 2013
- Stripling, H. F.; Anitescu, M.; Adams, M. L.
- Annals of Nuclear Energy, Vol. 52
Global sensitivity analysis using polynomial chaos expansions
journal, July 2008
- Sudret, Bruno
- Reliability Engineering & System Safety, Vol. 93, Issue 7
Phosphoric acid fuel cells: Fundamentals and applications
journal, October 2004
- Sammes, Nigel; Bove, Roberto; Stahl, Knut
- Current Opinion in Solid State and Materials Science, Vol. 8, Issue 5
Adaptive sparse polynomial chaos expansion based on least angle regression
journal, March 2011
- Blatman, Géraud; Sudret, Bruno
- Journal of Computational Physics, Vol. 230, Issue 6
Multi-objective optimisation analysis and load matching of a phosphoric acid fuel cell system
journal, February 2012
- Zhang, Houcheng; Lin, Guoxing; Chen, Jincan
- International Journal of Hydrogen Energy, Vol. 37, Issue 4
SCALE 6: Comprehensive Nuclear Safety Analysis Code System
journal, May 2011
- Bowman, S. M.
- Nuclear Technology, Vol. 174, Issue 2
Rod Internal Pressure Distribution and Uncertainty Analysis Using FRAPCON
journal, January 2017
- Bratton, Ryan N.; Jessee, Matt A.; Wieselquist, William A.
- Nuclear Technology, Vol. 197, Issue 1
Challenges in coupled thermal–hydraulics and neutronics simulations for LWR safety analysis
journal, June 2007
- Ivanov, Kostadin; Avramova, Maria
- Annals of Nuclear Energy, Vol. 34, Issue 6
Coupling of system thermal–hydraulics and Monte-Carlo code: Convergence criteria and quantification of correlation between statistical uncertainty and coupled error
journal, January 2015
- Wu, Xu; Kozlowski, Tomasz
- Annals of Nuclear Energy, Vol. 75
Advanced BWR criticality safety part II: Cask criticality, burnup credit, sensitivity, and uncertainty analyses
journal, August 2019
- Price, Dean; Radaideh, Majdi I.; O'Grady, Daniel
- Progress in Nuclear Energy, Vol. 115
Estimating Sobol sensitivity indices using correlations
journal, November 2012
- Glen, Graham; Isaacs, Kristin
- Environmental Modelling & Software, Vol. 37
A Statistical Sampling Method for Uncertainty Analysis with SCALE and XSUSA
journal, September 2013
- Williams, M. L.; Ilas, G.; Jessee, M. A.
- Nuclear Technology, Vol. 183, Issue 3
Validation and Uncertainty Quantification for Wall Boiling Closure Relations in Multiphase-CFD Solver
journal, September 2018
- Liu, Yang; Dinh, Nam
- Nuclear Science and Engineering, Vol. 193, Issue 1-2
The Serpent Monte Carlo code: Status, development and applications in 2013
journal, August 2015
- Leppänen, Jaakko; Pusa, Maria; Viitanen, Tuomas
- Annals of Nuclear Energy, Vol. 82
Integrated framework for model assessment and advanced uncertainty quantification of nuclear computer codes under Bayesian statistics
journal, September 2019
- Radaideh, Majdi I.; Borowiec, Katarzyna; Kozlowski, Tomasz
- Reliability Engineering & System Safety, Vol. 189
Data-Driven and Precursor-Group Uncertainty Propagation of Lattice Kinetic Parameters in UAM Benchmark
journal, May 2019
- Radaideh, Majdi I.; Kozlowski, Tomasz; Wieselquist, William A.
- Science and Technology of Nuclear Installations, Vol. 2019
Advanced BWR criticality safety part I: Model development, model benchmarking, and depletion with uncertainty analysis
journal, May 2019
- Radaideh, Majdi I.; Price, Dean; O'Grady, Daniel
- Progress in Nuclear Energy, Vol. 113
A Bayesian approach for quantification of model uncertainty
journal, July 2010
- Park, Inseok; Amarchinta, Hemanth K.; Grandhi, Ramana V.
- Reliability Engineering & System Safety, Vol. 95, Issue 7
Verification, validation, and predictive capability in computational engineering and physics
journal, September 2004
- Oberkampf, William L.; Trucano, Timothy G.; Hirsch, Charles
- Applied Mechanics Reviews, Vol. 57, Issue 5
Data-driven modeling for boiling heat transfer: Using deep neural networks and high-fidelity simulation results
journal, November 2018
- Liu, Yang; Dinh, Nam; Sato, Yohei
- Applied Thermal Engineering, Vol. 144
Verification and validation of simulation models
journal, February 2013
- Sargent, R. G.
- Journal of Simulation, Vol. 7, Issue 1
Thermal-Hydraulic System Codes in Nulcear Reactor Safety and Qualification Procedures
journal, January 2008
- Petruzzi, Alessandro; D'Auria, Francesco
- Science and Technology of Nuclear Installations, Vol. 2008
Modern Nuclear Data Evaluation with the TALYS Code System
journal, December 2012
- Koning, A. J.; Rochman, D.
- Nuclear Data Sheets, Vol. 113, Issue 12
Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian process, Part 1: Theory
journal, August 2018
- Wu, Xu; Kozlowski, Tomasz; Meidani, Hadi
- Nuclear Engineering and Design, Vol. 335
Inverse uncertainty quantification using the modular Bayesian approach based on Gaussian Process, Part 2: Application to TRACE
journal, August 2018
- Wu, Xu; Kozlowski, Tomasz; Meidani, Hadi
- Nuclear Engineering and Design, Vol. 335
Review of Metamodeling Techniques in Support of Engineering Design Optimization
journal, May 2006
- Wang, G. Gary; Shan, S.
- Journal of Mechanical Design, Vol. 129, Issue 4
Efficient Subspace Methods-Based Algorithms for Performing Sensitivity, Uncertainty, and Adaptive Simulation of Large-Scale Computational Models
journal, July 2008
- Abdel-Khalik, Hany S.; Turinsky, Paul J.; Jessee, Matthew A.
- Nuclear Science and Engineering, Vol. 159, Issue 3
Use of Kriging Models to Approximate Deterministic Computer Models
journal, April 2005
- Martin, Jay D.; Simpson, Timothy W.
- AIAA Journal, Vol. 43, Issue 4
Shapley effect application for variance-based sensitivity analysis of the few-group cross-sections
journal, July 2019
- Radaideh, Majdi I.; Surani, Stuti; O’Grady, Daniel
- Annals of Nuclear Energy, Vol. 129
Delayed-Neutron Data for Reactor-Physics Analysis
journal, January 1975
- Tuttle, R. J.
- Nuclear Science and Engineering, Vol. 56, Issue 1
Nuclide Composition Benchmark Data Set for Verifying Burnup Codes on Spent Light Water Reactor Fuels
journal, February 2002
- Nakahara, Yoshinori; Suyama, Kenya; Inagawa, Jun
- Nuclear Technology, Vol. 137, Issue 2
Bayesian calibration of computer models
journal, August 2001
- Kennedy, Marc C.; O'Hagan, Anthony
- Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 63, Issue 3
ENDF/B-VII.1 Nuclear Data for Science and Technology: Cross Sections, Covariances, Fission Product Yields and Decay Data
journal, December 2011
- Chadwick, M. B.; Herman, M.; Obložinský, P.
- Nuclear Data Sheets, Vol. 112, Issue 12
PSI Methodologies for Nuclear Data Uncertainty Propagation with CASMO-5M and MCNPX: Results for OECD/NEA UAM Benchmark Phase I
journal, January 2013
- Wieselquist, W.; Zhu, T.; Vasiliev, A.
- Science and Technology of Nuclear Installations, Vol. 2013
A roe-type numerical solver for the two-phase two-fluid six-equation model with realistic equation of state
journal, January 2018
- Hu, Guojun; Kozlowski, Tomasz
- Nuclear Engineering and Design, Vol. 326
Aleatory or epistemic? Does it matter?
journal, March 2009
- Kiureghian, Armen Der; Ditlevsen, Ove
- Structural Safety, Vol. 31, Issue 2
Delayed Neutrons from Fissionable Isotopes of Uranium, Plutonium, and Thorium
journal, August 1957
- Keepin, G. R.; Wimett, T. F.; Zeigler, R. K.
- Physical Review, Vol. 107, Issue 4
An effective screening design for sensitivity analysis of large models
journal, October 2007
- Campolongo, Francesca; Cariboni, Jessica; Saltelli, Andrea
- Environmental Modelling & Software, Vol. 22, Issue 10
Quantification of model-form and parametric uncertainty using evidence theory
journal, November 2012
- Park, Inseok; Grandhi, Ramana V.
- Structural Safety, Vol. 39
Surrogate-based methods for black-box optimization: Surrogate-based methods for black-box optimization
journal, April 2016
- Vu, Ky Khac; D'Ambrosio, Claudia; Hamadi, Youssef
- International Transactions in Operational Research, Vol. 24, Issue 3
A new framework for sampling-based uncertainty quantification of the six-group reactor kinetic parameters
journal, May 2019
- Radaideh, Majdi I.; Wieselquist, William A.; Kozlowski, Tomasz
- Annals of Nuclear Energy, Vol. 127
Nuclear Data Uncertainty Quantification: Past, Present and Future
journal, January 2015
- Smith, D. L.
- Nuclear Data Sheets, Vol. 123
Deep learning in neural networks: An overview
journal, January 2015
- Schmidhuber, Jürgen
- Neural Networks, Vol. 61
A machine learning approach for efficient uncertainty quantification using multiscale methods
journal, February 2018
- Chan, Shing; Elsheikh, Ahmed H.
- Journal of Computational Physics, Vol. 354
Uncertainty quantification and sensitivity analysis with CASL Core Simulator VERA-CS
journal, September 2016
- Brown, C. S.; Zhang, Hongbin
- Annals of Nuclear Energy, Vol. 95