| RAVEN user manual C Rabiti, A Alfonsi, D Mandelli, JJ Cogliati, C Wang, PW Talbot, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2021 | 118 | 2021 |
| Raven theory manual A Alfonsi, C Rabiti, D Mandelli, JJ Cogliati, C Wang, DP Maljovec, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2016 | 53 | 2016 |
| Overview of hybrid subspace methods for uncertainty quantification, sensitivity analysis HS Abdel-Khalik, Y Bang, C Wang Annals of Nuclear Energy 52, 28-46, 2013 | 53 | 2013 |
| RAVEN theory manual and user guide A Alfonsi, C Rabiti, D Mandelli, J Cogliati, C Wang, PW Talbot, ... Idaho: Idaho National Laboratory, 2017 | 43 | 2017 |
| Correlated synthetic time series generation for energy system simulations using Fourier and ARMA signal processing PW Talbot, C Rabiti, A Alfonsi, C Krome, MR Kunz, A Epiney, C Wang, ... International Journal of Energy Research 44 (10), 8144-8155, 2020 | 40 | 2020 |
| A flexible nonlinear diffusion acceleration method for the SN transport equations discretized with discontinuous finite elements S Schunert, Y Wang, F Gleicher, J Ortensi, B Baker, V Laboure, C Wang, ... Journal of Computational Physics 338, 107-136, 2017 | 30 | 2017 |
| Exact-to-precision generalized perturbation theory for eigenvalue problems C Wang, HS Abdel-Khalik Nuclear Engineering and Design 256, 130-140, 2013 | 19 | 2013 |
| Mutual integration of classical and dynamic PRA D Mandelli, A Alfonsi, C Wang, Z Ma, C Parisi, T Aldemir, C Smith, ... Nuclear Technology 207 (3), 363-375, 2021 | 16 | 2021 |
| Exact-to-precision generalized perturbation theory for source-driven systems C Wang, HS Abdel-Khalik Nuclear engineering and design 241 (12), 5104-5112, 2011 | 15 | 2011 |
| Raven user guide A Alfonsi, C Rabiti, D Mandelli, J Cogliati, C Wang, PW Talbot, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2018 | 13 | 2018 |
| Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data Z Xie, W Jiang, C Wang, X Wu Annals of Nuclear Energy 165, 108782, 2022 | 12 | 2022 |
| Probabilistic error bounds for reduced order modeling MG Abdo, C Wang, HS Abdel-Khalik Proceedings of International Conference on Mathematics and Computations in …, 2015 | 10 | 2015 |
| Correlated synthetic time series generation using Fourier and ARMA PW Talbot, C Rabiti, A Alfonsi, CJ Krome, R Kunz, AS Epiney, C Wang, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2019 | 9 | 2019 |
| On the Language of Reliability: A System Engineer Perspective D Mandelli, C Wang, S Hess Nuclear Technology 209 (11), 1637-1652, 2023 | 7 | 2023 |
| Linking classical PRA models to a dynamic PRA D Mandelli, C Wang, C Parisi, D Maljovec, A Alfonsi, Z Ma, C Smith Annals of Nuclear Energy 149, 107746, 2020 | 7 | 2020 |
| Integration of Data Analytics with Plant System Health Program D Mandelli, C Wang, CL Smith Idaho National Lab.(INL), Idaho Falls, ID (United States), 2020 | 7 | 2020 |
| Further investigation of error bounds for reduced order modeling MG Abdo, HS Abdel-Khalik, C Wang Proceedings of Int. Conf. Math and Comp., Nashville, TN 2015, 2015 | 7 | 2015 |
| Advancing inverse sensitivity/uncertainty methods for nuclear fuel cycle applications G Arbanas, ML Williams, LC Leal, ME Dunn, BA Khuwaileh, C Wang, ... Nuclear Data Sheets 123, 51-56, 2015 | 7 | 2015 |
| Crane: A new scale super-sequence for neutron transport calculations C Wang, HS Abdel-Khalik, U Mertyurek Mathematics and Computations, Supercomputing in Nuclear Applications and …, 2015 | 7 | 2015 |
| An overview of reduced order modeling techniques for safety applications D Mandelli, A Alfonsi, P Talbot, C Wang, D Maljovec, C Smith, C Rabiti, ... Idaho National Lab.(INL), Idaho Falls, ID (United States), 2016 | 6 | 2016 |
Diego MandelliIdaho National LaboratoryVerified email at inl.gov
