| Multidisciplinary design optimization: A survey of architectures J Martins, AB Lambe AIAA Journal 59 (9), 2049-2075, 2013 | 1244 | 2013 |
| The complex-step derivative approximation JRRA Martins, P Sturdza, JJ Alonso ACM Transactions on Mathematical Software (TOMS) 29 (3), 245-262, 2003 | 919 | 2003 |
| OpenMDAO: An open-source framework for multidisciplinary design, analysis, and optimization JS Gray, JT Hwang, JRRA Martins, KT Moore, BA Naylor Structural and Multidisciplinary Optimization 59, 1075-1104, 2019 | 620 | 2019 |
| Electric, hybrid, and turboelectric fixed-wing aircraft: A review of concepts, models, and design approaches BJ Brelje, JRRA Martins Progress in Aerospace Sciences 104, 1-19, 2019 | 561 | 2019 |
| Extensions to the design structure matrix for the description of multidisciplinary design, analysis, and optimization processes AB Lambe, JRRA Martins Structural and Multidisciplinary Optimization 46, 273-284, 2012 | 501 | 2012 |
| pyOpt: a Python-based object-oriented framework for nonlinear constrained optimization RE Perez, PW Jansen, JRRA Martins Structural and Multidisciplinary Optimization 45, 101-118, 2012 | 481 | 2012 |
| Multipoint high-fidelity aerostructural optimization of a transport aircraft configuration GKW Kenway, JRRA Martins Journal of Aircraft 51 (1), 144-160, 2014 | 414 | 2014 |
| Engineering design optimization JRRA Martins, A Ning Cambridge University Press, 2021 | 400 | 2021 |
| Review and unification of methods for computing derivatives of multidisciplinary computational models JRRA Martins, JT Hwang AIAA Journal 51 (11), 2582-2599, 2013 | 381 | 2013 |
| A Python surrogate modeling framework with derivatives MA Bouhlel, JT Hwang, N Bartoli, R Lafage, J Morlier, JRRA Martins Advances in Engineering Software 135, 102662, 2019 | 343 | 2019 |
| High-fidelity aerostructural design optimization of a supersonic business jet JRRA Martins, JJ Alonso, JJ Reuther Journal of Aircraft 41 (3), 523-530, 2004 | 334 | 2004 |
| Aerodynamic shape optimization investigations of the common research model wing benchmark Z Lyu, GKW Kenway, JRRA Martins AIAA journal 53 (4), 968-985, 2015 | 330 | 2015 |
| A coupled-adjoint sensitivity analysis method for high-fidelity aero-structural design JRRA Martins, JJ Alonso, JJ Reuther Optimization and Engineering 6, 33-62, 2005 | 308 | 2005 |
| Scalable parallel approach for high-fidelity steady-state aeroelastic analysis and adjoint derivative computations GKW Kenway, GJ Kennedy, JRRA Martins AIAA journal 52 (5), 935-951, 2014 | 296 | 2014 |
| An adaptive approach to constraint aggregation using adjoint sensitivity analysis NMK Poon, JRRA Martins Structural and Multidisciplinary Optimization 34, 61-73, 2007 | 279* | 2007 |
| Aerodynamic design optimization studies of a blended-wing-body aircraft Z Lyu, JRRA Martins Journal of Aircraft 51 (5), 1604-1617, 2014 | 270 | 2014 |
| A CAD-free approach to high-fidelity aerostructural optimization G Kenway, G Kennedy, JRRA Martins 13th AIAA/ISSMO multidisciplinary analysis optimization conference, 9231, 2010 | 251 | 2010 |
| An automated method for sensitivity analysis using complex variables JRRA Martins, IM Kroo, JJ Alonso AIAA paper 689, 2000, 2000 | 248 | 2000 |
| Effective adjoint approaches for computational fluid dynamics GKW Kenway, CA Mader, P He, JRRA Martins Progress in Aerospace Sciences 110, 100542, 2019 | 247 | 2019 |
| ADjoint: an approach for the rapid development of discrete adjoint solvers CA Mader, JRRA Martins, JJ Alonso, EV Der Weide AIAA journal 46 (4), 863-873, 2008 | 233 | 2008 |
Gaetan KenwayNASA Ames Research CenterVerified email at nasa.gov
