| Emulation and Sobol'sensitivity analysis of an atmospheric dispersion model applied to the Fukushima nuclear accident S Girard, V Mallet, I Korsakissok, A Mathieu Journal of Geophysical Research: Atmospheres 121 (7), 3484-3496, 2016 | 48 | 2016 |
| Meta-modeling of ADMS-Urban by dimension reduction and emulation V Mallet, A Tilloy, D Poulet, S Girard, F Brocheton Atmospheric Environment 184, 37-46, 2018 | 31 | 2018 |
| Screening sensitivity analysis of a radionuclides atmospheric dispersion model applied to the Fukushima disaster S Girard, I Korsakissok, V Mallet Atmospheric environment 95, 490-500, 2014 | 26 | 2014 |
| Lessons learned from atmospheric modeling studies after the Fukushima nuclear accident: Ensemble simulations, data assimilation, elemental process modeling, and inverse modeling M Kajino, TT Sekiyama, A Mathieu, I Korsakissok, R Périllat, D Quélo, ... Geochemical Journal 52 (2), 85-101, 2018 | 23 | 2018 |
| Sensitivity analysis and dimension reduction of a steam generator model for clogging diagnosis S Girard, T Romary, JM Favennec, P Stabat, H Wackernagel Reliability Engineering & System Safety 113, 143-153, 2013 | 18 | 2013 |
| Physical and statistical models for steam generator clogging diagnosis S Girard Springer International Publishing, 2014 | 17 | 2014 |
| Diagnostic du colmatage des générateurs de vapeur à l'aide de modèles physiques et statistiques S Girard École nationale supérieure des mines de Paris, 2012 | 12 | 2012 |
| Stochastic perturbations and dimension reduction for modelling uncertainty of atmospheric dispersion simulations S Girard, P Armand, C Duchenne, T Yalamas Atmospheric environment 224, 117313, 2020 | 8 | 2020 |
| A probabilistic take on system modeling with modelica and python S Girard, T Yalamas URL https://tinyurl. com/proba-system-model, 2017 | 7 | 2017 |
| Non Linear Dimension Reduction of Dynamic Model Output. CE Gerrer, S Girard Modelica, 157:019, 2019 | 6 | 2019 |
| Towards a better understanding of clogged steam generators: a sensitivity analysis of dynamic themohydraulic model output S Girard, T Romary, JM Favennec, P Stabat, H Wackernagel ICONE19-19th International Conference on Nuclear Engineering, 11 p.; ICONE19 …, 2011 | 5 | 2011 |
| Steam generators clogging diagnosis through physical and statistical modelling S Girard Ecole Nationale Superieure des Mines de Paris, 2012 | 4 | 2012 |
| Clogging of recirculating nuclear steam generators S Girard, S Girard Physical and Statistical Models for Steam Generator Clogging Diagnosis, 3-13, 2014 | 3 | 2014 |
| State of the art of clogging diagnosis S Girard, S Girard Physical and Statistical Models for Steam Generator Clogging Diagnosis, 15-24, 2014 | 3 | 2014 |
| Geometrical Imperfections in Lattice Structures: a Simulation Strategy to Predict Strength Variability X Lorang, C Mang, A Tahmesabimoradi, G Sylvain 14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress, 2020 | 2 | 2020 |
| A new method for assessing the uncertainty associated with 3D dispersion simulations in variable meteorological conditions C DUCHENNE, P ARMAND, M MARCILHAC, S GIRARD, T YALAMAS | 2 | 2017 |
| A Grey-box Approach for the Prognostic and Health Management of Lithium-Ion Batteries F Cancelliere, S Girard, JM Bourinet, M Broggi Annual Conference of the PHM Society 15 (1), 2023 | 1 | 2023 |
| Adaptive probabilistic modelling to support decision-making in the event of accidental atmospheric releases M Caillat, V Pibernus, S Girard, M Ribatet, P Armand, C Duchenne Atmospheric Environment 309, 119865, 2023 | 1 | 2023 |
| Management of a free-floating electrical scooters fleet F Cancelliere, S Girard Congrès Lambda Mu 23 «Innovations et maîtrise des risques pour un avenir …, 2022 | 1 | 2022 |
| Health monitoring using statistical learning and digital twins CE Gerrer, S Girard NAFEMS, 2020 | 1 | 2020 |
