| The GNAT method for nonlinear model reduction: effective implementation and application to computational fluid dynamics and turbulent flows K Carlberg, C Farhat, J Cortial, D Amsallem Journal of Computational Physics 242, 623-647, 2013 | 682 | 2013 |
| Dimensional reduction of nonlinear finite element dynamic models with finite rotations and energy‐based mesh sampling and weighting for computational efficiency C Farhat, P Avery, T Chapman, J Cortial International Journal for Numerical Methods in Engineering 98 (9), 625-662, 2014 | 366 | 2014 |
| A method for interpolating on manifolds structural dynamics reduced‐order models D Amsallem, J Cortial, K Carlberg, C Farhat International journal for numerical methods in engineering 80 (9), 1241-1258, 2009 | 289 | 2009 |
| Towards real-time computational-fluid-dynamics-based aeroelastic computations using a database of reduced-order information D Amsallem, J Cortial, C Farhat AIAA journal 48 (9), 2029-2037, 2010 | 153 | 2010 |
| Towards real-time computational-fluid-dynamics-based aeroelastic computations using a database of reduced-order information D Amsallem, J Cortial, C Farhat AIAA journal 48 (9), 2029-2037, 2010 | 153 | 2010 |
| Time‐parallel implicit integrators for the near‐real‐time prediction of linear structural dynamic responses C Farhat, J Cortial, C Dastillung, H Bavestrello International journal for numerical methods in engineering 67 (5), 697-724, 2006 | 112 | 2006 |
| Shape optimization of a coupled thermal fluid–structure problem in a level set mesh evolution framework F Feppon, G Allaire, F Bordeu, J Cortial, C Dapogny SeMA Journal 76, 413-458, 2019 | 76 | 2019 |
| A time‐parallel implicit method for accelerating the solution of non‐linear structural dynamics problems J Cortial, C Farhat International Journal for Numerical Methods in Engineering 77 (4), 451-470, 2009 | 63 | 2009 |
| Compressed sensing and time-parallel reduced-order modeling for structural health monitoring using a DDDAS J Cortial, C Farhat, LJ Guibas, M Rajashekhar Computational Science–ICCS 2007: 7th International Conference, Beijing …, 2007 | 51 | 2007 |
| On-demand CFD-based aeroelastic predictions using a database of reduced-order bases and models D Amsallem, J Cortial, C Farhat 47th AIAA Aerospace Sciences Meeting Including The New Horizons Forum and …, 2009 | 42 | 2009 |
| The GNAT nonlinear model reduction method and its application to fluid dynamics problems K Carlberg, D Amsallem, P Avery, M Zahr, C Farhat 6th AIAA Theoretical Fluid Mechanics Conference, 3112, 2011 | 32 | 2011 |
| A time-parallel implicit methodology for the near-real-time solution of systems of linear oscillators J Cortial, C Farhat Real-Time PDE-Constrained Optimization, 115-143, 2007 | 11 | 2007 |
| Towards real-time cfd-based aeroelastic computations using a database of reduced-order models D Amasallem, J Cortial, K Carlberg, C Farhat AIAA Journal 48, 2029-2037, 2010 | 7 | 2010 |
| Time-parallel methods for accelerating the solution of structural dynamics problems J Cortial Stanford University, 2011 | 6 | 2011 |
| Optimization of oriented and parametric cellular structures by the homogenization method P Geoffroy-Donders, G Allaire, J Cortial, O Pantz Advances in Structural and Multidisciplinary Optimization: Proceedings of …, 2018 | 5 | 2018 |
| Multiple tensor train approximation of parametric constitutive equations in elasto-viscoplasticity C Olivier, D Ryckelynck, J Cortial Mathematical and Computational Applications 24 (1), 17, 2019 | 4 | 2019 |
| Parametric damage mechanics empowering structural health monitoring of 3d woven composites M Jacot, V Champaney, F Chinesta, J Cortial Sensors 23 (4), 1946, 2023 | 3 | 2023 |
| Density-based topology optimization of a surface cooler in turbulent flow using a continuous adjoint turbulence model Q Holka, E Toubiana, J Cortial, B Ghannam, M Nemer Structural and Multidisciplinary Optimization 65 (8), 223, 2022 | 3 | 2022 |
| A R&D software platform for shape and topology optimization using body-fitted meshes C Nardoni, D Danan, C Mang, F Bordeu, J Cortial Mesh generation and adaptation: Cutting-edge techniques, 23-39, 2022 | 3 | 2022 |
| The GNAT nonlinear model-reduction method with application to large-scale turbulent flows. KT Carlberg, J Cortial, C Farhat, D Amsallem Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2013 | 3 | 2013 |
Charbel FarhatVivian Church Hoff Professor in the School of Engineering, Stanford UniversityVerified email at stanford.edu
