| 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 | 115 | 2021 |
| RANS-based aerodynamic shape optimization of a strut-braced wing with overset meshes NR Secco, JRRA Martins Journal of Aircraft 56 (1), 217-227, 2019 | 74 | 2019 |
| Artificial neural networks to predict aerodynamic coefficients of transport airplanes NR Secco, BS Mattos Aircraft Engineering and Aerospace Technology 89 (2), 211-230, 2017 | 62 | 2017 |
| An efficient parallel overset method for aerodynamic shape optimization GK Kenway, A Mishra, NR Secco, K Duraisamy, JRRA Martins 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2017 | 57 | 2017 |
| Component-based geometry manipulation for aerodynamic shape optimization with overset meshes NR Secco, JP Jasa, GKW Kenway, JRRA Martins AIAA Journal 56 (9), 3667-3679, 2018 | 49 | 2018 |
| Optimal design of a high-altitude solar-powered unmanned airplane BS Mattos, NR Secco, EF Salles Journal of Aerospace Technology and Management 5, 349-361, 2013 | 46 | 2013 |
| Artificial neural networks applied to airplane design NR Secco, BS Mattos 53rd AIAA aerospace sciences meeting, 1013, 2015 | 20 | 2015 |
| Aerodynamic shape optimization of a truss-braced-wing aircraft D Ivaldi, NR Secco, S Chen, JT Hwang, JRRA Martins 16th AIAA/ISSMO multidisciplinary analysis and optimization conference, 3436, 2015 | 11 | 2015 |
| An airplane calculator featuring a high-fidelity methodology for tailplane sizing BS Mattos, NR Secco Journal of Aerospace Technology and Management 5, 371-386, 2013 | 9 | 2013 |
| An Uncertainty-based Framework for Technology Portfolio Selection for Future Aircraft Program D Bianchi, K Amadori, E Bäckström, C Jouannet, N Secco AIAA Scitech 2021 Forum, 1479, 2021 | 6 | 2021 |
| Decision tree classifiers for unmanned aircraft configuration selection JA Dantas de Jesus Ferreira, NR Secco Aircraft Engineering and Aerospace Technology 93 (6), 1122-1132, 2021 | 5 | 2021 |
| A framework for enhanced decision-making in aircraft conceptual design optimisation under uncertainty DHB Di Bianchi, NR Sêcco, FJ Silvestre The Aeronautical Journal 125 (1287), 777-806, 2021 | 5 | 2021 |
| Aircraft control design with linear and non linear techniques: comparative aspects DL Cerignoni, DG Galisteu, GP Camillo, NR Sêcco, FT Vargas, ... Proceeding Series of the Brazilian Society of Computational and Applied …, 2013 | 3 | 2013 |
| Component-based aerodynamic shape optimization using overset meshes N Secco | 2 | 2018 |
| An adjoint-based methodology for calculating manufacturing tolerances for natural laminar flow airfoils susceptible to smooth surface waviness M Moniripiri, PPC Brito, AVG Cavalieri, NR Sêcco, A Hanifi Theoretical and Computational Fluid Dynamics 38 (1), 15-37, 2024 | 1 | 2024 |
| Wing-fuselage drag prediction using artificial neural networks N Secco, B Mattos 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and …, 2012 | 1 | 2012 |
| Aerodynamic optimization coupled with adjoint-based adaptive unstructured meshes HH Lemos, N Sêcco AIAA AVIATION 2021 FORUM, 2732, 2021 | | 2021 |
| Use of artificial neural networks to correct computer simulations of small-scale propellers LG Souza, C Martins, N Sêcco AIAA AVIATION 2021 FORUM, 2498, 2021 | | 2021 |
| Misconceptions about the Central Limit Theorem in Uncertainty-based Design Optimization D Bianchi, N Secco AIAA Scitech 2021 Forum, 1594, 2021 | | 2021 |
| APPLYING MDO TO CLASSICAL CONCEPTUAL AIRCRAFT DESIGN METHODOLOGIES NR Sêcco Instituto Tecnológico de Aeronáutica, 2019 | | 2019 |
