Nicolas R. Gauger

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Beckett Yuxiang ZhouDaniel Guggenheim School of Aerospace Engineering, Georgia Institute of TechnologyAdresse e-mail validée de gatech.edu
Tim AlbringTechnische Universität KaiserslauternAdresse e-mail validée de scicomp.uni-kl.de
Max SagebaumChair for Scientific Computing (SciComp), TU KaiserslauternAdresse e-mail validée de scicomp.uni-kl.de
Stefanie GüntherResearcher at Lawrence Livermore National LaboratoryAdresse e-mail validée de llnl.gov
Thomas D. EconomonSU2 FoundationAdresse e-mail validée de su2foundation.org
Volker SchulzUniversity of TrierAdresse e-mail validée de uni-trier.de
Stephan SchmidtUniversity of TrierAdresse e-mail validée de uni-trier.de
Juan J. AlonsoAeronautics & Astronautics, Stanford UniversityAdresse e-mail validée de stanford.edu
Jacob B SchroderDept. of Math & Stats, University of New MexicoAdresse e-mail validée de unm.edu
Matthias MeinkeInstitute of Aerodynamics, RWTH Aachen UniversityAdresse e-mail validée de aia.rwth-aachen.de
Wolfgang SchröderFull Professor of Fluid Mechanics and Director of the Institute of AerodynamicsAdresse e-mail validée de aia.rwth-aachen.de
Andrea WaltherProfessor of Mathematics, Humboldt-Universität zu BerlinAdresse e-mail validée de math.hu-berlin.de
Lars RuthottoEmory UniversityAdresse e-mail validée de emory.edu
Martine BaelmansKU Leuven, Dep. Mechanical EngineeringAdresse e-mail validée de kuleuven.be
Alberto GuardoneProfessor of Fluid Mechanics, Politecnico di MilanoAdresse e-mail validée de polimi.it
Myles MorelliPolitecnico di MilanoAdresse e-mail validée de polimi.it
Andreas GriewankProfessorAdresse e-mail validée de math.hu-berlin.de
Rafael PalaciosImperial CollegeAdresse e-mail validée de imperial.ac.uk
Xun HuanAssociate Professor of Mechanical Engineering, University of MichiganAdresse e-mail validée de umich.edu
Wouter DekeyserKU LeuvenAdresse e-mail validée de kuleuven.be

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Nicolas R. Gauger

Professor, Chair for Scientific Computing, University of Kaiserslautern - Landau

Adresse e-mail validée de scicomp.uni-kl.de - Page d'accueil

Numerical Optimization PDE Constrained Optimization Aerodynamic Shape Optimization Automatic Differentiation Adjoint Methods


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
High-performance derivative computations using codipack M Sagebaum, T Albring, NR Gauger ACM Transactions on Mathematical Software (TOMS) 45 (4), 1-26, 2019	188	2019
Efficient aerodynamic design using the discrete adjoint method in SU2 TA Albring, M Sagebaum, NR Gauger 17th AIAA/ISSMO multidisciplinary analysis and optimization conference, 3518, 2016	160	2016
Layer-parallel training of deep residual neural networks S Gunther, L Ruthotto, JB Schroder, EC Cyr, NR Gauger SIAM Journal on Mathematics of Data Science 2 (1), 1-23, 2020	126	2020
Aerodynamic shape optimization using simultaneous pseudo-timestepping SB Hazra, V Schulz, J Brezillon, NR Gauger Journal of Computational Physics 204 (1), 46-64, 2005	121	2005
Three-dimensional large-scale aerodynamic shape optimization based on shape calculus S Schmidt, C Ilic, V Schulz, NR Gauger AIAA journal 51 (11), 2615-2627, 2013	115	2013
2D and 3D aerodynamic shape optimisation using the adjoint approach J Brezillon, NR Gauger Aerospace Science and Technology 8 (8), 715-727, 2004	99	2004
Development of a consistent discrete adjoint solver in an evolving aerodynamic design framework TA Albring, M Sagebaum, NR Gauger 16th AIAA/ISSMO multidisciplinary analysis and optimization conference, 3240, 2015	79	2015
Sensitivity analysis and optimization of sub-wavelength optical gratings using adjoints ACR Niederberger, DA Fattal, NR Gauger, S Fan, RG Beausoleil Optics express 22 (11), 12971-12981, 2014	73	2014
Toward the end-to-end optimization of particle physics instruments with differentiable programming T Dorigo, A Giammanco, P Vischia, M Aehle, M Bawaj, A Boldyrev, ... Reviews in Physics 10, 100085, 2023	62	2023
On high-order pressure-robust space discretisations, their advantages for incompressible high Reynolds number generalised Beltrami flows and beyond NR Gauger, A Linke, PW Schroeder The SMAI journal of computational mathematics 5, 89-129, 2019	62	2019
Advances in evolutionary and deterministic methods for design, optimization and control in engineering and sciences D Greiner, B Galván, J Périaux, N Gauger, K Giannakoglou, G Winter Springer International Publishing, 2015	60	2015
Single-step one-shot aerodynamic shape optimization E Özkaya, NR Gauger Optimal control of coupled systems of partial differential equations, 191-204, 2009	52	2009
A discrete adjoint framework for unsteady aerodynamic and aeroacoustic optimization BY Zhou, TA Albring, NR Gauger, TD Economon, F Palacios, JJ Alonso 16th AIAA/ISSMO multidisciplinary analysis and optimization conference, 3355, 2015	49	2015
Das Adjungiertenverfahren in der aerodynamischen Formoptimierung NR Gauger Braunschweig, Techn. Univ., Diss., 2003, 2003	48	2003
Coupled adjoint‐based sensitivities in large‐displacement fluid‐structure interaction using algorithmic differentiation R Sanchez, T Albring, R Palacios, NR Gauger, TD Economon, JJ Alonso International Journal for Numerical Methods in Engineering 113 (7), 1081-1107, 2018	46	2018
Automatic differentiation of an entire design chain for aerodynamic shape optimization NR Gauger, A Walther, C Moldenhauer, M Widhalm New Results in Numerical and Experimental Fluid Mechanics VI: Contributions …, 2008	46	2008
Adjoint approaches for optimal flow control A Carnarius, F Thiele, E Oezkaya, NR Gauger 5th Flow Control Conference, 5088, 2010	41	2010
Flow simulation and shape optimization for aircraft design N Kroll, NR Gauger, J Brezillon, R Dwight, A Fazzolari, D Vollmer, ... Journal of Computational and applied mathematics 203 (2), 397-411, 2007	41	2007
Shape gradients and their smoothness for practical aerodynamic design optimization S Schmidt, C Ilic, N Gauger, V Schulz Optim. Eng.(20 08) Preprint-Number SPP1253-10-03, 2008	40	2008
Fully turbulent discrete adjoint solver for non-ideal compressible flow applications. S Vitale, TA Albring, M Pini, NR Gauger, P Colonna Journal of the Global Power and Propulsion Society 1, 252-270, 2017	38	2017

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