| Status of the NEAMS and ARC neutronic fast reactor tools integration to the NEAMS Workbench N Stauff, P Lartaud, YS Jung, CH Lee, K Zeng, J Hou Argonne National Lab.(ANL), Argonne, IL (United States), 2019 | 16 | 2019 |
| Multi-output Gaussian processes for inverse uncertainty quantification in neutron noise analysis P Lartaud, P Humbert, J Garnier Nuclear Science and Engineering 197 (8), 1928-1951, 2023 | 7 | 2023 |
| Sequential design for surrogate modeling in Bayesian inverse problems P Lartaud, P Humbert, J Garnier arXiv preprint arXiv:2402.16520, 2024 | 4 | 2024 |
| Sensitivity Analysis and Uncertainty Quantification of FFTF Cycle 8C using the NEAMS Workbench IT Usman, P Lartaud, NE Stauff proceedings of ANS Winter Meeting, DC, 2019 | 4 | 2019 |
| Uncertainty quantification in neutron noise analysis using monte-carlo markov chain methods: An application to nuclear waste drum assay P Lartaud, P Humbert, J Garnier Proceedings of the International Conference on Physics of Reactors, 2674-2683, 2022 | 2 | 2022 |
| Uncertainty quantification in Bayesian inverse problems with neutron and gamma time correlation measurements P Lartaud, P Humbert, J Garnier Annals of Nuclear Energy 213, 111123, 2025 | | 2025 |
| Uncertainty quantification in neutron and gamma time correlation measurements P Lartaud, P Humbert, J Garnier arXiv preprint arXiv:2410.01522, 2024 | | 2024 |
| MULTI-OUTPUT GAUSSIAN PROCESS SURROGATE MODELS FOR INVERSE UNCERTAINTY QUANTIFICATION IN RANDOM NEUTRONICS P Lartaud, P Humbert, J Garnier | | |
| I-optimal sequential design for Bayesian inverse problems with Gaussian process surrogate models P Lartaud, P Humbert, J Garnier | | |
| Bayesian Inverse Problem and Uncertainty Quantification in the Joint Analysis of Neutron and Gamma Corrrelations P Lartaud, P Humbert, J Garnier | | |
| Supervised learning and Monte Carlo Markov Chain methods for inverse problem resolution in random neutronics P Lartaud | | |
| Uncertainty quantification for inverse problems in random neutronics using supervised learning and Monte-Carlo Markov chain methods P Lartaud, P Humbert, J Garnier | | |
Philippe Humbertcea在 cea.fr 的电子邮件经过验证
Philippe Humbertcea在 cea.fr 的电子邮件经过验证