| Effective adjoint approaches for computational fluid dynamics GKW Kenway, CA Mader, P He, JRRA Martins Progress in Aerospace Sciences 110, 100542, 2019 | 260 | 2019 |
| ADjoint: An approach for the rapid development of discrete adjoint solvers CA Mader, JRRA Martins, JJ Alonso, E Van Der Weide AIAA journal 46 (4), 863-873, 2008 | 237 | 2008 |
| pyOptSparse: A Python framework for large-scale constrained nonlinear optimization of sparse systems E Wu, G Kenway, CA Mader, J Jasa, JR ra Martins Journal of Open Source Software 5 (54), 2564, 2020 | 173 | 2020 |
| ADflow: An open-source computational fluid dynamics solver for aerodynamic and multidisciplinary optimization CA Mader, GKW Kenway, A Yildirim, JRRA Martins Journal of Aerospace Information Systems 17 (9), 508-527, 2020 | 161 | 2020 |
| Surrogate models and mixtures of experts in aerodynamic performance prediction for aircraft mission analysis RP Liem, CA Mader, JRRA Martins Aerospace Science and Technology 43, 126--151, 2015 | 148 | 2015 |
| Robust aerodynamic shape optimization—from a circle to an airfoil X He, J Li, CA Mader, A Yildirim, JRRA Martins Aerospace Science and Technology 87, 48-61, 2019 | 140 | 2019 |
| A Jacobian-free approximate Newton–Krylov startup strategy for RANS simulations A Yildirim, GKW Kenway, CA Mader, JRRA Martins Journal of Computational Physics 397, 108741, 2019 | 138 | 2019 |
| An aerodynamic design optimization framework using a discrete adjoint approach with OpenFOAM P He, CA Mader, JRRA Martins, KJ Maki Computers & Fluids 168, 285-303, 2018 | 132 | 2018 |
| Efficient mesh generation and deformation for aerodynamic shape optimization NR Secco, GKW Kenway, P He, C Mader, JRRA Martins AIAA Journal 59 (4), 1151-1168, 2021 | 130 | 2021 |
| Dafoam: An open-source adjoint framework for multidisciplinary design optimization with openfoam P He, CA Mader, JRRA Martins, KJ Maki AIAA journal 58 (3), 1304-1319, 2020 | 118 | 2020 |
| Stability-constrained aerodynamic shape optimization of flying wings CA Mader, JRRA Martins Journal of Aircraft 50 (5), 1431-1449, 2013 | 106 | 2013 |
| Modeling boundary layer ingestion using a coupled aeropropulsive analysis JS Gray, CA Mader, GKW Kenway, JRRA Martins Journal of Aircraft 55 (3), 1191-1199, 2018 | 92 | 2018 |
| Multimodality in aerodynamic wing design optimization NP Bons, X He, CA Mader, JRRA Martins AIAA Journal 57 (3), 1004-1018, 2019 | 84 | 2019 |
| Natural laminar-flow airfoil optimization design using a discrete adjoint approach Y Shi, CA Mader, S He, GLO Halila, JRRA Martins AIAA Journal 58 (11), 4702-4722, 2020 | 74 | 2020 |
| Derivatives for time-spectral computational fluid dynamics using an automatic differentiation adjoint CA Mader, JRRA Martins AIAA journal 50 (12), 2809-2819, 2012 | 72 | 2012 |
| A methodology for the development of discrete adjoint solvers using automatic differentiation tools AC Marta, CA Mader, J Martins, E Van der Weide, JJ Alonso International Journal of Computational Fluid Dynamics 21 (9-10), 307-327, 2007 | 55 | 2007 |
| Coupled aeropropulsive optimization of a three-dimensional boundary-layer ingestion propulsor considering inlet distortion JS Gray, CA Mader, GKW Kenway, JRRA Martins Journal of Aircraft 57 (6), 1014-1025, 2020 | 51 | 2020 |
| Aero-propulsive design optimization of a turboelectric boundary layer ingestion propulsion system JS Gray, GK Kenway, CA Mader, JRRA Martins 2018 Aviation Technology, Integration, and Operations Conference, 3976, 2018 | 40 | 2018 |
| Computational modeling of flutter constraint for high-fidelity aerostructural optimization E Jonsson, CA Mader, G Kennedy, JRRA Martins AIAA Scitech 2019 Forum, 2354, 2019 | 38 | 2019 |
| Aerothermal optimization of a ribbed U-bend cooling channel using the adjoint method P He, CA Mader, JRRA Martins, KJ Maki International Journal of Heat and Mass Transfer 140, 152-172, 2019 | 35 | 2019 |
Joaquim R. R. A. MartinsProfessor of Aerospace Engineering, University of Michigan在 umich.edu 的电子邮件经过验证
