| Economics of advanced thin-haul concepts and operations A Harish, C Perron, D Bavaro, J Ahuja, M Ozcan, CY Justin, SI Briceno, ... 16th AIAA Aviation Technology, Integration, and Operations Conference, 3767, 2016 | 33 | 2016 |
| Randomized algorithms for non-intrusive parametric reduced order modeling D Rajaram, C Perron, TG Puranik, DN Mavris AIAA Journal 58 (12), 5389-5407, 2020 | 20 | 2020 |
| Development of a multi-fidelity reduced-order model based on manifold alignment C Perron, D Rajaram, D Mavris AIAA Aviation 2020 Forum, 3124, 2020 | 18 | 2020 |
| Non-intrusive parametric reduced order models with high-dimensional inputs via gradient-free active subspace D Rajaram, RH Gautier, C Perron, OJ Pinon-Fischer, D Mavris AIAA Aviation 2020 Forum, 3184, 2020 | 17 | 2020 |
| Non-intrusive parametric reduced order modeling using randomized algorithms D Rajaram, TG Puranik, C Perron, DN Mavris AIAA Scitech 2020 Forum, 0417, 2020 | 16 | 2020 |
| Nonlinear reduced order modeling using domain decomposition N Iyengar, D Rajaram, K Decker, C Perron, DN Mavris AIAA SciTech 2022 Forum, 1250, 2022 | 12 | 2022 |
| Nonlinear Multi-Fidelity Reduced Order Modeling Method using Manifold Alignment K Decker, N Iyengar, C Perron, D Rajaram, D Mavris AIAA Aviation 2021 Forum, 3050, 2021 | 11 | 2021 |
| Multi-fidelity non-intrusive reduced-order modelling based on manifold alignment C Perron, D Rajaram, DN Mavris Proceedings of the Royal Society A 477 (2253), 20210495, 2021 | 9 | 2021 |
| Multi-fidelity reduced-order modeling applied to fields with inconsistent representations C Perron Atlanta: Georgia Institute of Technology, 2020 | 7 | 2020 |
| Manifold alignment-based nonintrusive and nonlinear multifidelity reduced-order modeling K Decker, N Iyengar, D Rajaram, C Perron, D Mavris AIAA Journal 61 (1), 454-474, 2023 | 5 | 2023 |
| Manifold alignment-based multi-fidelity reduced-order modeling applied to structural analysis C Perron, D Sarojini, D Rajaram, J Corman, D Mavris Structural and Multidisciplinary Optimization 65 (8), 236, 2022 | 5 | 2022 |
| A multi-fidelity approximation of the active subspace method for surrogate models with high-dimensional inputs B Mufti, M Chen, C Perron, DN Mavris AIAA AVIATION 2022 Forum, 3488, 2022 | 5 | 2022 |
| Cfd study of an over-wing nacelle configuration SH Berguin, SA Renganathan, J Ahuja, M Chen, C Perron, J Tai, ... Georgia Inst. of Technology, Atlanta, GA, 2018 | 4 | 2018 |
| Development of an Open Rotor Propulsion System Model and Power Management Strategy RA Clark, C Perron, JC Tai, BJ Airdo, DN Mavris AIAA SciTech 2023 Forum, 0309, 2023 | 3 | 2023 |
| A methodology for determining the interdependence of fuel burn and LTO noise of a commercial supersonic transport E Baltman, JC Tai, J Ahuja, B Stewart, C Perron, J De Azevedo, TR Vlady, ... AIAA AVIATION 2022 Forum, 4110, 2022 | 3 | 2022 |
| Design space reduction using multi-fidelity model-based active subspaces B Mufti, C Perron, R Gautier, DN Mavris AIAA AVIATION 2023 Forum, 3592, 2023 | 2 | 2023 |
| Comparison of Overwing and Underwing Nacelle Aeropropulsion Optimization for Subsonic Transport Aircraft J Ahuja, C Hyun Lee, C Perron, DN Mavris Journal of Aircraft, 1-16, 2023 | 1 | 2023 |
| Development of a Parametric Drag Polar Approximation for Conceptual Design B Sampaio Felix, C Perron, J Ahuja, DN Mavris AIAA AVIATION 2023 Forum, 4266, 2023 | 1 | 2023 |
| Étude CFD des effets du désalignement et du cisaillement sur les performances et le chargement des hydroliennes C Perron | 1 | 2015 |
| A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs B Mufti, C Perron, DN Mavris arXiv preprint arXiv:2402.17061, 2024 | | 2024 |
