Jeff Borggaard

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D PelletierEcole Polytechnique de MontrealVerified email at polymtl.ca
Traian IliescuProfessor of Mathematics, Virginia TechVerified email at vt.edu
Imran AkhtarProfessor & Department Chair, National University of Sciences & TechnologyVerified email at vt.edu
Lizette ZietsmanVirginia TechVerified email at vt.edu
Stephane EtienneEcole Polytechnique de MontrealVerified email at polymtl.ca
Zhu WangUniversity of South CarolinaVerified email at math.sc.edu
Serkan GugercinClass of 1950 Professor of Mathematics, Virginia TechVerified email at vt.edu
Mouhacine BenosmanAmazon RoboticsVerified email at amazon.com
Boris KramerUniversity of California San DiegoVerified email at ucsd.edu
Omer SanAssociate Professor, Mechanical, Aerospace, and Biomedical Engineering, University of TennesseeVerified email at utk.edu
JP RoopNC A & T State UniversityVerified email at ncat.edu
Donghun KimLawrence Berkeley National LaboratoryVerified email at lbl.gov
Amit SuranaUnited Technolgies Research CenterVerified email at utrc.utc.com
Hristina HristovaUniversity of Hawaii/CIMARVerified email at noaa.gov
Chris J. RoyCrofton Department of Aerospace and Ocean Engineering, Virginia TechVerified email at vt.edu
Miroslav StoyanovOak Ridge National LaboratoryVerified email at ornl.gov
Michael A. DemetriouProfessor of Aerospace Engineering, Worcester Polytechnic InstituteVerified email at wpi.edu
Regis DuvigneauINRIA Sophia-AntipolisVerified email at inria.fr
Nathan Glatt-HoltzIndiana University, BloomingtonVerified email at iu.edu
Justin KrometisResearch Assistant Professor, Virginia TechVerified email at vt.edu

Jeff Borggaard

Interdisciplinary Center for Applied Mathematics, Virginia Tech

Verified email at vt.edu - Homepage

Flow Control Model Reduction Systems and Control Theory Uncertainty Quantification VT Math


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Proper orthogonal decomposition closure models for turbulent flows: a numerical comparison Z Wang, I Akhtar, J Borggaard, T Iliescu Computer Methods in Applied Mechanics and Engineering 237, 10-26, 2012	373	2012
A PDE sensitivity equation method for optimal aerodynamic design J Borggaard, J Burns Journal of Computational Physics 136, 366-384, 1997	206	1997
Local improvements to reduced-order models using sensitivity analysis of the proper orthogonal decomposition A Hay, JT Borggaard, D Pelletier Journal of Fluid Mechanics 629 (1), 41-72, 2009	143	2009
Two-level discretizations of nonlinear closure models for proper orthogonal decomposition Z Wang, I Akhtar, J Borggaard, T Iliescu Journal of Computational Physics 230 (1), 126-146, 2011	131	2011
Reduced order controllers for Burgers' equation with a nonlinear observer JA Atwell, JT Borggaard, BB King International Journal of Applied Mathematics and Computer Science 11 (6 …, 2001	120	2001
Reduced-order models for parameter dependent geometries based on shape sensitivity analysis A Hay, J Borggaard, I Akhtar, D Pelletier Journal of Computational Physics 229 (4), 1327-1352, 2010	100	2010
Control, estimation and optimization of energy efficient buildings J Borggaard, JA Burns, A Surana, L Zietsman 2009 American Control Conference, 837-841, 2009	100	2009
Principal interval decomposition framework for POD reduced‐order modeling of convective Boussinesq flows O San, J Borggaard International Journal for Numerical Methods in Fluids 78 (1), 37-62, 2015	78	2015
Artificial viscosity proper orthogonal decomposition J Borggaard, T Iliescu, Z Wang Mathematical and Computer Modelling 53 (1-2), 269-279, 2011	77	2011
A sensitivity equation approach to shape optimization in fluid flows J Borggaard, J Burns Flow Control, 49-78, 1995	77	1995
Sensitivity calculations for a 2D, inviscid, supersonic forebody problem J Borggaard, JA Burns, E Cliff, M Gunzburger	69	1993
Boundary element implicit differentiation equations for design sensitivities of axisymmetric structures S Saigal, JT Borggaard, JH Kane International journal of solids and structures 25 (5), 527-538, 1989	61	1989
Interval-based reduced order models for unsteady fluid flow J Borggaard, A Hay, D Pelletier Int. J. Numer. Anal. Model 4 (3-4), 353-367, 2007	55	2007
A continuous sensitivity equation approach to optimal design in mixed convection É Turgeon, D Pelletier, J Borggaard Numerical Heat Transfer: Part A: Applications 38 (8), 869-885, 2000	53	2000
Learning-based robust stabilization for reduced-order models of 2D and 3D Boussinesq equations M Benosman, J Borggaard, O San, B Kramer Applied Mathematical Modelling 49, 162-181, 2017	52	2017
Using functional gains for effective sensor location in flow control: a reduced-order modelling approach I Akhtar, J Borggaard, JA Burns, H Imtiaz, L Zietsman Journal of Fluid Mechanics 781, 622-656, 2015	52	2015
On efficient solutions to the continuous sensitivity equation using automatic differentiation J Borggaard, A Verma SIAM Journal on Scientific Computing 22 (1), 39-62, 2000	50	2000
The sensitivity equation method for optimal design J Borggaard	49	1994
A new closure strategy for proper orthogonal decomposition reduced-order models I Akhtar, Z Wang, J Borggaard, T Iliescu	48	2012
Application of a sensitivity equation method to the K-epsilon model of turbulence E Turgeon, D Pelletier, J Borggaard AIAA Computational Fluid Dynamics Conference, 15 th, Anaheim, CA, 2001	48*	2001

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