Computational Mechanics and Optimization Laboratory

Seminar

• M. J. Zahr, “High-order implicit shock tracking for shock-dominated flows,” in Center for Computational and Applied Mathematics Seminar, Purdue University (Host: Xiangxiong Zhang), (West Lafayette, Indiana), Purdue University, 10/30/2023. [ bib | slides ]

• M. J. Zahr, “Simulation of shock-dominated flows using high-order implicit shock tracking,” in Applied Mechanics Seminar, Indian Institute of Technology (IIT) Delhi (Host: Prateek Gupta), (Virtual Event; Delhi, India), IIT Delhi, 4/14/2023. [ bib ]

• M. J. Zahr, “High-order implicit shock tracking for shock-dominated flows,” in Numerical Analysis and Scientific Computing Seminar, University of Waterloo (Host: David Del Rey Fernandez), (Virtual Event; Waterloo, Ontario), University of Waterloo, 2/7/2023. [ bib | slides ]

• M. J. Zahr, “High-order implicit shock tracking for shock-dominated flows,” in Fluid Dynamics Research Consortium (FDRC), The Pennsylvania State University (Host: David Williams), (State College, Pennsylvania), Penn State University, 12/8/2022. [ bib | slides ]

• M. J. Zahr, “High-order, optimization-based computational fluid dynamics,” in SIAM Student Chapter Lecture, University of Notre Dame, (Notre Dame, Indiana), University of Notre Dame, 11/16/2022. [ bib | slides ]

• M. J. Zahr, “Simulation of shock-dominated flows using high-order implicit shock tracking,” in Eulerian Code Group, Los Alamos National Laboratory (Host: Lauren Green), (Virtual Event; Los Alamos, New Mexico), Los Alamos National Laboratory, 11/14/2022. [ bib | slides ]

• M. J. Zahr, “High-order implicit shock tracking for high-speed flows,” in Alvarez Fellow Seminar Series, Lawrence Berkeley National Laboratory (Host: Julianne Mueller), (Virtual Event: Berkeley, California), Lawrence Berkeley National Laboratory, 7/26/2022. [ bib | slides ]

• M. J. Zahr, “High-order and reduced-order methods for improved engineering analysis and design,” in Large Scale Structural Systems Early-Career Colloquium, USACM (Host: Pablo Seleson), (Virtual Event), United States Association for Computational Mechanics, 11/3/2021. [ bib | slides ]

• M. J. Zahr, “At the intersection of computational science and aerospace engineering,” in Mechanical, Aerospace & Biomedical Engineering Seminar, University of Tennessee, Knoxville (Host: Devina Sanjaya), (Virtual Event; Knoxville, Tennessee), University of Tennessee, Knoxville, 9/1/2021. [ bib | slides ]

• M. J. Zahr, “Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking,” in Centre for Computational Science and Engineering Seminar, University of Toronto (Host: Masayuki Yano), (Virtual Event: Toronto, Canada), University of Toronto, 8/23/2021. [ bib | slides ]

• M. J. Zahr, “Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking,” in Data-Driven Physical Simulations Seminar, Lawrence Livermore National Laboratory (Host: Youngsoo Choi), (Virtual Event; Livermore, California), Lawrence Livermore National Laboratory, 6/24/2021. [ bib ]

• M. J. Zahr, “Robust high-order implicit shock tracking solver for high-speed flows,” in Computational Hypersonics Research Lab Seminar, University of Minnesota (Host: Graham Candler), (Virtual Event; Minneapolis, Minnesota), University of Minnesota, 5/18/2021. [ bib | slides ]

• M. J. Zahr, “Integrating computational physics and numerical optimization to address challenges in computational science, engineering, and medicine,” in Applied and Computational Mathematics and Statistics Seminar, University of Notre Dame (Host: Alan Lindsay), (Virtual Event; Notre Dame, Indiana), University of Notre Dame, 4/8/2021. [ bib | slides ]

• M. J. Zahr and J. M. Powers, “Accurate methods for computing high mach number reactive flow,” in Turbulence Analysis and Simulation Center Seminar (Host: Daniel Tortorelli), (Virtual Event; Livermore, California), Lawrence Livermore National Laboratory, 6/24/2020. [ bib ]

• M. J. Zahr, “Integrating computational physics and numerical optimization to address challenges in computational science, engineering, and medicine,” in Data Sciences Seminar, Johns Hopkins University (Host: Fei Lu), (Baltimore, Maryland), Johns Hopkins University, 12/4/2019. [ bib ]

• M. J. Zahr, “Integrated computational physics and numerical optimization,” in Center for Informatics and Computational Science Seminar, Univerity of Notre Dame (Host: Nicholas Zabaras), (Notre Dame, Indiana), University of Notre Dame, 3/6/2019. [ bib ]

• M. J. Zahr, “Integrated computational physics and numerical optimization,” in Program in Applied Mathematics Colloquium, University of Arizona (Host: Matthias Morzfeld), (Tuscon, Arizona), University of Arizona, 9/21/2018. [ bib | slides ]

• M. J. Zahr, “Integrated computational physics and numerical optimization,” in Applied Mathematics Seminar, UC Berkeley (Host: Per-Olof Persson), (Berkeley, California), University of California, Berkeley, 9/6/2018. [ bib | slides ]

• M. J. Zahr, “Optimization-based computational physics and high-order methods: from optimized analysis to design and data assimilation,” in Aerospace and Ocean Engineering Seminar, Virginia Tech (Host: Kevin Wang), (Blacksburg, Virginia), Virginia Polytechnic Institute and State University, 4/2/2018. [ bib ]

• M. J. Zahr, “Optimization-based computational physics and high-order methods: from optimized analysis to design and data assimilation,” in LBNL CRD Postdoc Seminar Series, (Berkeley, California), Lawrence Berkeley National Laboratory, 9/18/2017. [ bib | slides ]

• M. J. Zahr, “Gradient-based optimization of flow problems using the adjoint method and high-order numerical discretizations,” in Applied, Computational, and Industrial Math Seminar Series, (San Jose, California), San Jose State University, 5/8/2017. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “Optimization of CFD simulations, with MRI applications,” in TESLA Seminar (Host: Johannes Töger), (Lund, Sweden), Lund University, 3/31/2017. [ bib | slides ]

• M. J. Zahr, “Adaptive model reduction to accelerate optimization problems governed by partial differential equations,” in Farhat Research Group Seminar, (Stanford, California), Stanford University, 1/10/2017. [ bib | slides ]

• M. J. Zahr, “Adaptive model reduction to accelerate optimization problems governed by partial differential equations,” in LBNL Postdoc Seminar Series, (Berkeley, California), Lawrence Berkeley National Laboratory, 1/9/2017. [ bib | slides ]

• M. J. Zahr, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in CME 500 Seminar, (Stanford, California), Stanford University, 4/11/2016. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization problems using adaptive reduced-order models,” in University of Notre Dame Aerospace and Mechanical Engineering Seminar (Host: Gretar Tryggvason), (South Bend, Indiana), University of Notre Dame, 3/3/2016 -- 3/4/2016. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization problems using adaptive reduced-order models,” in University of Southern California Aerospace and Mechanical Engineering Seminar (Host: Geoff Spedding), (Los Angeles, California), University of Southern California, 2/25/2016 -- 2/26/2017. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization problems using adaptive reduced-order models,” in Luis W. Alvarez Fellowship Seminar (Host: Jonathan Carter), (Berkeley, California), Lawrence Berkeley National Laboratory, 2/9/2016. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization problems using adaptive reduced-order models,” in J. H. Wilkinson Fellowship Seminar (Host: Sven Leyffer), (Argonne, Illinois), Argonne National Laboratory, 1/15/2016. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization problems using adaptive reduced-order models,” in John von Neumann Postdoctoral Fellowship Seminar (Host: Denis Ridzal), (Albuquerque, New Mexico), Sandia National Laboratories, 1/11/2016. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “High-order methods for optimization and control of conservation laws on deforming domains,” in Dean Seminar at Sandia National Laboratories (Host: Kevin Carlberg), (Livermore, California), 12/14/2015. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization problems using adaptive reduced-order models,” in Sidney Fernbach Postdoctoral Fellowship Seminar (Host: Jeffrey A. F. Hittinger), (Livermore, California), Lawrence Livermore National Laboratory, 12/9/2015. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “High-order methods for optimization and control of conservation laws on deforming domains,” in Applied Mathematics Seminar at UC Berkeley (Host: Per-Olof Persson), (Berkeley, California), 9/30/2015. [ bib | slides ]

• M. J. Zahr and C. Farhat, “Accelerating PDE-constrained optimization using adaptive reduced-order models,” in Seminar at Sandia National Laboratories (Host: Drew Kouri), (Albuquerque, New Mexico), 7/8/2015. [ bib | slides ]

• M. J. Zahr, “Accelerating PDE-constrained optimization using adaptive reduced-order models: application to topology optimization,” in Robert J. Melosh Medal Competition, (Durham, North Carolina), Duke University, 4/24/2015. [ bib | slides ]

• M. J. Zahr, N. Luco, and H. Ryu, “Mitigation of seismic risk pertaining to non-ductile concrete buildings using seismic risk maps,” in Seminar at USGS headquarters (Host: Nicolas Luco), (Golden, Colorado), 6/8/2010. [ bib | slides ]

• M. J. Zahr, N. Luco, and H. Ryu, “Mitigation of seismic risk pertaining to non-ductile concrete buildings using seismic risk maps,” in Undergraduate Research Seminar at UC Berkeley, (Berkeley, California), 4/27/2010. [ bib | slides ]

• M. J. Zahr, N. Luco, and H. Ryu, “Mitigation of seismic risk pertaining to non-ductile concrete buildings using seismic risk maps,” in Seminar at USGS headquarters (Host: Nicolas Luco), (Golden, Colorado), 8/13/2009. [ bib | slides ]

Workshop

• M. J. Zahr, “Improved blast simulations using high-order implicit shock tracking,” in AFOSR Dynamic Materials and Interaction Program Review, (Hybrid Event; Alexandria, Virginia), Air Force Office of Scientific Research, 8/21/2023 -- 8/25/2023. [ bib ]

• M. J. Zahr, “Adaptive model reduction for shock-dominated flows to enable many-query computational physics,” in AFOSR Computational Mathematics Program Review, (Hybrid Event; Washington, D.C.), Air Force Office of Scientific Research, 8/7/2023 -- 8/11/2023. [ bib ]

• M. J. Zahr, “Improved simulation of hypersonic flows using high-order implicit shock tracking,” in AFOSR/ONR/HVSI Annual High-Speed Aerodynamics Portfolio Review, (Hybrid Event; College Park, Maryland), Office of Naval Research, 7/24/2023 -- 7/28/2023. [ bib ]

• M. J. Zahr, “Adaptive model reduction for high-speed flows,” in Computational Challenges and Emerging Tools (DDEW03) (Host: Isaac Newton Institute for Mathematical Sciences), (Cambridge, United Kingdom), 4/24/2023 -- 4/27/2023. [ bib ]

• M. J. Zahr, “Adaptive model reduction for analysis and optimization of shock-dominated flows,” in 2022 AFOSR/ONR MURI Review, (Washington, D.C.), Air Force Office of Scientific Research, 11/30/2022. [ bib ]

• M. J. Zahr, “Adaptive model reduction for shock-dominated flows to enable many-query computational physics,” in AFOSR Computational Mathematics Program Review, (Hybrid Event; Washington, D.C.), Air Force Office of Scientific Research, 8/15/2022 -- 8/19/2022. [ bib ]

• M. J. Zahr, “Improved simulation of hypersonic flows using high-order implicit shock tracking,” in AFOSR/ONR/HVSI Annual High-Speed Aerodynamics Portfolio Review, (Hybrid Event; Caltech, California), Office of Naval Research, 7/18/2022 -- 7/22/2022. [ bib ]

• M. J. Zahr, “Model reduction of convection-dominated flows using implicit tracking feature tracking,” in Reduced-Order Models at Work: Industry and Medicine (Host: Inria Bordeaux), (Bordeaux, France), 3/30/2022 -- 4/1/2022. [ bib ]

• M. J. Zahr, “Improved blast simulations using high-order implicit shock tracking,” in AFOSR Dynamic Materials and Interaction Kickoff, (Virtual Event), Air Force Office of Scientific Research, 2/1/2022. [ bib ]

• M. J. Zahr, “Unsteady supersonic/hypersonic test suite,” in High Fidelity CFD Workshop 2022, (San Diego, California), 1/8/2022 -- 1/9/2022. [ bib ]

• M. J. Zahr, “Adaptive model order reduction to accelerate hypersonic flow simulations,” in 2021 AFOSR/ONR MURI Review, (Washington, D.C.), Air Force Office of Scientific Research, 12/8/2021. [ bib ]

• M. J. Zahr, “Adaptive model reduction for shock-dominated flows to enable many-query computational physics,” in AFOSR Computational Mathematics Program Review, (Virtual Event; Washington, D.C.), Air Force Office of Scientific Research, 8/9/2021. [ bib ]

• M. J. Zahr and P.-O. Persson, “An optimization-based discontinuous Galerkin approach for high-order accurate shock tracking,” in 5th International Workshop on High-Order CFD Methods, (Kissimmee, Florida), 1/8/2018 -- 1/12/2018. [ bib ]

• M. J. Zahr, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in 2017 West Coast ROM Workshop, (Berkeley, California), Lawrence Berkeley National Laboratory, 11/17/2017. [ bib | slides ]

• M. J. Zahr, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in BIRS Workshop: Data-Driven Methods for ROMs and Stochastic PDEs, (Banff, Alberta, Canada), Banff International Reseach Station, 1/30/2017 -- 2/3/2017. [ bib | slides ]

• M. J. Zahr and C. Farhat, “A nonlinear trust-region framework for PDE-constrained optimization using adaptive model reduction,” in West Coast ROM Workshop, (Livermore, California), Sandia National Laboratories, 11/19/2015. [ bib | slides ]

• M. J. Zahr and C. Farhat, “Accelerating PDE-constrained optimization using progressively constructed reduced-order models,” in Bay Area ROM Workshop, (Livermore, California), Sandia National Laboratories, 8/8/2014. [ bib | slides ]

Conference

• T. Huang and M. J. Zahr, “Simulation of shock-dominated flows using high-order implicit shock tracking,” in 17th U. S. National Congress on Computational Mechanics (USNCCM17), (Albuquerque, New Mexico), 7/23/2023 -- 7/27/2023. [ bib ]

• C. J. Naudet and M. J. Zahr, “High-order implicit shock tracking for time-dependent flows,” in 17th U. S. National Congress on Computational Mechanics (USNCCM17), (Albuquerque, New Mexico), 7/23/2023 -- 7/27/2023. [ bib ]

• C. J. Naudet, B. Taylor, and M. J. Zahr, “High-order implicit shock tracking for finite-source spherical blast waves,” in Proc. of the AIAA Aviation Forum and Exposition (Aviation 2023), (San Diego, California), American Institute of Aeronautics and Astronautics, 6/12/2023 -- 6/16/2023. [ bib ]

• M. J. Zahr, “Optimization-based implicit shock tracking for unsteady flows,” in SIAM Conference on Optimization, (Seattle, Washington), 5/31/2023 -- 6/3/2023. [ bib ]

• C. J. Naudet and M. J. Zahr, “High-order implicit shock tracking for unsteady flows,” in 22nd Computational Fluids Conference (CFC2023), (Cannes, France), 4/25/2023 -- 4/28/2023. [ bib ]

• M. J. Zahr, “High-order implicit shock tracking for shock-dominated flows,” in 22nd Computational Fluids Conference (CFC2023), (Cannes, France), 4/25/2023 -- 4/28/2023. [ bib | slides ]

• M. J. Zahr, “Adaptive model reduction for shock-dominated flows,” in SIAM Conference on Computational Science and Engineering, (Amsterdam, Netherlands), 2/27/2023 -- 3/3/2023. [ bib ]

• T. Wen and M. J. Zahr, “An augmented lagrangian trust-region method to accelerate equality-constrained shape optimization problems using model hyperreduction,” in Proc. of the AIAA Science and Technology Forum and Exposition (SciTech2023), (National Harbor, Maryland), American Institute of Aeronautics and Astronautics, 1/23/2023 -- 1/27/2023. [ bib ]

• T. Huang and M. J. Zahr, “High-order implicit shock tracking boundary conditions for supersonic flow over a smoothed rectangle,” in Proc. of the AIAA Science and Technology Forum and Exposition (SciTech2023), (National Harbor, Maryland), American Institute of Aeronautics and Astronautics, 1/23/2023 -- 1/27/2023. [ bib ]

• K. Holst, C. Kim, and M. J. Zahr, “High-Fidelity CFD Verification Workshop 2024: Shock-Dominated Flows,” in Proc. of the AIAA Science and Technology Forum and Exposition (SciTech2023), (National Harbor, Maryland), American Institute of Aeronautics and Astronautics, 1/23/2023 -- 1/27/2023. [ bib ]

• V. Zucatti and M. J. Zahr, “POD-based adaptive model reduction to accelerate computational fluid dynamics,” in Model Reduction and Surrogate Modeling (MORE), (Berlin, Germany), 9/19/2022 -- 9/23/2022. [ bib ]

• M. Mirhoseini and M. J. Zahr, “Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking,” in Model Reduction and Surrogate Modeling (MORE), (Berlin, Germany), 9/19/2022 -- 9/23/2022. [ bib ]

• E. Bursch, M. J. Zahr, and R. McClarren, “Radiation hydrodynamics modeling with high-order implicit shock tracking,” in 10th International Conference on Numerical Methods for Multi-Material Fluid Flow (MultiMat 2022), (Zurich, Switzerland), 8/22/2022 -- 8/26/2022. [ bib ]

• T. Huang, C. J. Naudet, and M. J. Zahr, “High-order implicit shock tracking for flows with interfaces,” in 10th International Conference on Numerical Methods for Multi-Material Fluid Flow (MultiMat 2022), (Zurich, Switzerland), 8/22/2022 -- 8/26/2022. [ bib ]

• C. J. Naudet and M. J. Zahr, “High-order implicit shock tracking for time-dependent flows,” in 15th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), (Virtual Event; Yokohama, Japan), 7/31/2022 -- 8/5/2022. [ bib ]

• M. Mirhoseini and M. J. Zahr, “Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking,” in 15th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), (Virtual Event; Yokohama, Japan), 7/31/2022 -- 8/5/2022. [ bib ]

• T. Huang and M. J. Zahr, “High-order implicit shock tracking for compressible, viscous flows,” in 15th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), (Virtual Event; Yokohama, Japan), 7/31/2022 -- 8/5/2022. [ bib ]

• T. Huang, C. J. Naudet, and M. J. Zahr, “High-order implicit shock tracking,” in North American High Order Methods Conference (NAHOMCon), (San Diego, California), 7/18/2022 -- 7/19/2022. [ bib ]

• O. Rasheed, T. Huang, and M. J. Zahr, “High-order implicit shock tracking for a supersonic biplane airfoil,” in Proc. of the AIAA Aviation Forum and Exposition (Aviation 2022), (Chicago, Illinois), American Institute of Aeronautics and Astronautics, 6/27/2022 -- 7/1/2022. [ bib ]

• M. J. Zahr, T. Huang, and C. J. Naudet, “High-order implicit shock tracking for high-speed flows,” in Engineering Mechanics Institute Conference 2022 (EMI 2022), (Baltimore, Maryland), 5/30/2022 -- 6/3/2022. [ bib ]

• H. Gao and M. J. Zahr, “Parametrically robust model reduction via enrichment with locally supported basis functions,” in 16th U.S. National Congress on Computational Mechanics (USNCCM16), (Chicago, Illinois), 7/25/2021 -- 7/29/2021. [ bib ]

• M. Mirhoseini and M. J. Zahr, “Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking,” in 16th U.S. National Congress on Computational Mechanics (USNCCM16), (Virtual Event; Chicago, IL), 7/25/2021 -- 7/29/2021. [ bib ]

• A. Shi, P.-O. Persson, and M. J. Zahr, “Implicit shock tracking and the method of lines for shock-dominated, unsteady flows,” in 16th U.S. National Congress on Computational Mechanics (USNCCM16), (Chicago, Illinois), 7/25/2021 -- 7/29/2021. [ bib ]

• T. Huang and M. J. Zahr, “High-order implicit shock tracking: robust solvers and applications,” in 16th U.S. National Congress on Computational Mechanics (USNCCM16), (Chicago, Illinois), 7/25/2021 -- 7/29/2021. [ bib ]

• T. Wen and M. J. Zahr, “A globally convergent method to accelerate PDE-constrained optimization using on-the-fly model hyperreduction,” in 16th U.S. National Congress on Computational Mechanics (USNCCM16), (Chicago, Illinois), 7/25/2021 -- 7/29/2021. [ bib ]

• C. Naudet and M. J. Zahr, “Predicting wall shear stress using simulation-based imaging,” in 16th U.S. National Congress on Computational Mechanics (USNCCM16), (Chicago, Illinois), 7/25/2021 -- 7/29/2021. [ bib ]

• M. J. Zahr, “Implicit shock tracking using an optimization-based high-order discontinuous Galerkin method,” in International Conference on Spectral and High Order Methods (ICOSAHOM) 2020/2021, (Virtual Event; Vienna, Austria), 7/12/2021 -- 7/16/2021. [ bib ]

• M. J. Zahr, “Model reduction of convection-dominated partial differential equations via optimization-based implicit feature tracking,” in 10th International Conference on Adaptive Modeling and Simulation (ADMOS), (Virtual Event; Gothenburg, Sweden), 6/21/2021 -- 6/23/2021. [ bib ]

• T. Huang and M. J. Zahr, “High-order implicit shock tracking with targeted mesh optimization and PDE-based smoothing,” in Proc. of the AIAA Aviation Forum and Exposition (Aviation 2021), (Washington, D.C.), American Institute of Aeronautics and Astronautics, 6/7/2021 -- 6/11/2021. [ bib ]

• M. Mirhoseini and M. J. Zahr, “Model reduction of convection-dominated flows using implicit tracking,” in SIAM Conference on Computational Science and Engineering, (Virtual Event; Fort Worth, Texas), 3/1/2021 -- 3/5/2021. [ bib ]

• D. Z. Huang, P.-O. Persson, and M. J. Zahr, “High-order partitioned spectral deferred correction solvers for multiphysics problems,” in SIAM Conference on Computational Science and Engineering, (Virtual Event; Fort Worth, Texas), 3/1/2021 -- 3/5/2021. [ bib ]

• T. Wen and M. J. Zahr, “A globally convergent method to accelerate PDE-constrained optimization using on-the-fly model reduction,” in SIAM Conference on Computational Science and Engineering, (Virtual Event; Fort Worth, Texas), 3/1/2021 -- 3/5/2021. [ bib ]

• A. Shi, P.-O. Persson, and M. J. Zahr, “Implicit shock tracking and the method of lines for shock-dominated, unsteady flows,” in SIAM Conference on Computational Science and Engineering, (Virtual Event; Fort Worth, Texas), 3/1/2021 -- 3/5/2021. [ bib ]

• T. Huang, C. Naudet, and M. J. Zahr, “Robust high-order implicit shock tracking solver for complex high-speed flows,” in SIAM Conference on Computational Science and Engineering, (Virtual Event; Fort Worth, Texas), 3/1/2021 -- 3/5/2021. [ bib ]

• A. Schein, K. Calrberg, M. J. Zahr, and M. W. Gee, “An optimization-based formulation for equality and inequality constrained reduced-order modeling,” in World Congress on Computational Mechanics XIV (WCCM XIV) and European Community on Computational Methods in Applied Sciences (ECCOMAS) Congress 2020, (Paris, France), 1/11/2021 -- 1/15/2021. [ bib ]

• M. J. Zahr, “High-resolution visualization of in vivo blood flow from low-resolution 4D flow MRI scans using computational fluid dynamics and optimization,” in SIAM Conference on Parallel Processing for Scientific Computing (PP20), (Seattle, Washington), 2/12/2020 -- 2/15/2020. [ bib ]

• M. J. Zahr and P.-O. Persson, “An r-adaptive, high-order discontinuous Galerkin method for flows with attached shocks,” in Proc. of the AIAA Science and Technology Forum and Exposition (SciTech2020), (Orlando, Florida), American Institute of Aeronautics and Astronautics, 1/6/2020 -- 1/10/2020. [ bib ]

• M. J. Zahr and P.-O. Persson, “An optimization-based approach for high-order accurate discretization of conservation laws with discontinuous solutions,” in 15th U.S. National Congress on Computational Mechanics (USNCCM15), (Austin, Texas), 7/28/2019 -- 8/2/2019. [ bib ]

• M. J. Zahr, “An optimization-based approach for the reduction of conservation laws with parametrized discontinuities,” in 15th U.S. National Congress on Computational Mechanics (USNCCM15), (Austin, Texas), 7/28/2019 -- 8/2/2019. [ bib ]

• P.-O. Persson, D. Z. Huang, and M. J. Zahr, “High-order partitioned solvers and fully discrete adjoints for multiphysics problems,” in 15th U.S. National Congress on Computational Mechanics (USNCCM15), (Austin, Texas), 7/28/2019 -- 8/2/2019. [ bib ]

• M. J. Zahr and P.-O. Persson, “An optimization-based discontinuous Galerkin approach for high-order accurate shock tracking,” in North American High Order Methods Conference (NAHOMCon), (San Diego, California), 6/2/2019 -- 6/5/2019. [ bib ]

• M. J. Zahr and P.-O. Persson, “An optimization-based discontinuous Galerkin approach for high-order accurate shock tracking,” in Finite Elements in Fluids, (Chicago, Illinois), 3/31/2019 -- 4/3/2019. [ bib ]

• R. Baraldi, M. Morzfeld, and M. J. Zahr, “An acceleration framework for parameter estimation using implicit sampling and adaptive reduced-order models,” in SIAM Conference on Computational Science and Engineering, (Spokane, Washington), 2/25/2019 -- 3/1/2019. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “An optimization-based discontinuous Galerkin approach for high-order shock tracking,” in SIAM Conference on Computational Science and Engineering, (Spokane, Washington), 2/25/2019 -- 3/1/2019. [ bib ]

• M. J. Zahr, K. Carlberg, and D. P. Kouri, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in SIAM Conference on Computational Science and Engineering, (Spokane, Washington), 2/25/2019 -- 3/1/2019. [ bib ]

• M. Franco, P.-O. Persson, W. Pazner, and M. J. Zahr, “An adjoint method using fully implicit Runge-Kutta schemes for optimization of flow problems,” in AIAA Science and Technology Forum and Exposition (SciTech2019), (San Diego, California), 1/7/2019 -- 1/11/2019. [ bib ]

• A. Shi, P.-O. Persson, and M. J. Zahr, “An optimization-based discontinuous Galerkin approach for high-order accurate shock tracking with guaranteed mesh quality,” in Proc. of the AIAA Science and Technology Forum and Exposition (SciTech2019), (San Diego, California), American Institute of Aeronautics and Astronautics, 1/7/2019 -- 1/11/2019. [ bib ]

• D. Z. Huang, P.-O. Persson, and M. J. Zahr, “A high-order partitioned solver for general multiphysics problems and its applications in optimization,” in AIAA Science and Technology Forum and Exposition (SciTech2019), (San Diego, California), 1/7/2019 -- 1/11/2019. [ bib ]

• M. J. Zahr and P.-O. Persson, “An optimization-based discontinuous galerkin approach for high-order accurate shock tracking,” in 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), (Glasgow, Scotland, United Kingdom), 6/11/2018 -- 6/15/2018. [ bib ]

• M. J. Zahr, K. Carlberg, and D. P. Kouri, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in SIAM Conference on Uncertainty Quantification, (Garden Grove, California), 4/16/2018 -- 4/19/2018. [ bib ]

• M. J. Zahr and P.-O. Persson, “An optimization-based discontinuous Galerkin approach for high-order accurate shock tracking,” in AIAA Science and Technology Forum and Exposition (SciTech2018), (Kissimmee, Florida), American Institute of Aeronautics and Astronautics, 1/8/2018 -- 1/12/2018. [ bib ]

• M. J. Zahr and P.-O. Persson, “Adjoint-based optimization of time-dependent fluid-structure systems using a high-order discontinuous Galerkin discretization,” in 14th U.S. National Congress on Computational Mechanics (USNCCM14), (Montreal, Quebec, Canada), 7/17/2017 -- 7/20/2017. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “Adjoint-based optimization of time-dependent fluid-structure systems using a high-order discontinuous Galerkin discretization,” in VII International Conference on Coupled Problems in Science and Engineering, (Rhodes Island, Greece), 6/12/2017 -- 6/14/2017. [ bib | slides ]

• J. Wang, M. J. Zahr, and P.-O. Persson, “Energetically optimal flapping flight based on a fully discrete adjoint method with explicit treatment of flapping frequency,” in 23rd AIAA Computational Fluid Dynamics Conference, (Denver, Colorado), 6/5/2017 -- 6/9/2017. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “Adjoint-based optimization of time-dependent fluid-structure systems using a high-order discontinuous Galerkin discretization,” in IACM 19th International Conference on Finite Element in Flow Problems (FEF), (Rome, Italy), 4/5/2017 -- 4/7/2017. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “Adjoint-based optimization of time-dependent fluid-structure systems using a high-order discontinuous Galerkin discretization,” in European Workshop on High Order Nonlinear Numerical Methods for Evolutionary PDEs: Theory and Applications, (Stuttgart, Germany), University of Stuttgart, 3/27/2017 -- 3/31/2017. [ bib | slides ]

• M. J. Zahr, K. Carlberg, and D. P. Kouri, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in SIAM Conference on Computational Science and Engineering, (Atlanta, Georgia), 2/27/2017 -- 3/3/2017. [ bib | slides ]

• M. J. Zahr, K. Carlberg, and D. P. Kouri, “Efficient PDE-constrained optimization under uncertainty using adaptive model reduction and sparse grids,” in SIAM Annual Meeting, (Boston, Massachusetts), 7/11/2016 -- 7/15/2016. [ bib | slides ]

• M. J. Zahr, K. Carlberg, and D. P. Kouri, “Adaptive stochastic collocation for PDE-constrained optimization under uncertainty using sparse grids and model reduction,” in SIAM Conference on Uncertainty Quantification, (Lausanne, Switzerland), Ecole Polytechnique Federale de Lausanne, 4/5/2016 -- 4/8/2016. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “High-order, time-dependent aerodynamic optimization using a discontinuous Galerkin discretization of the Navier-Stokes equations,” in AIAA Science and Technology Forum and Exposition (SciTech 2016), (San Diego, California), 1/4/2016 -- 1/8/2016. [ bib | slides | paper ]

• K. Washabaugh, M. J. Zahr, and C. Farhat, “On the use of discrete nonlinear reduced-order models for the prediction of steady-state flows past parametrically deformed complex geometries,” in AIAA Science and Technology Forum and Exposition (SciTech 2016), (San Diego, California), 1/4/2016 -- 1/8/2016. [ bib ]

• D. De Santis, M. J. Zahr, and C. Farhat, “Gradient-based aerodynamic shape optimization using the FIVER embedded boundary method,” in AIAA Science and Technology Forum and Exposition (SciTech 2016), (San Diego, California), 1/4/2016 -- 1/8/2016. [ bib ]

• M. J. Zahr, “High-order, time-dependent PDE-constrained optimization using discontinuous Galerkin methods,” in Department of Energy Computational Science Graduate Fellowship Program Review, (Washington D.C.), 7/27/2015 -- 7/30/2015. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “Unsteady CFD optimization using high-order discontinuous Galerkin finite element methods,” in 13th U.S. National Congress on Computational Mechanics (USNCCM13), (San Diego, California), 7/26/2015 -- 7/30/2015. [ bib | slides ]

• M. J. Zahr and C. Farhat, “A nonlinear trust-region framework for PDE-constrained optimization using progressively constructed reduced-order models,” in 2015 SIAM Conference on Computational Science and Engineering (CSE15), (Salt Lake City, Utah), 3/14/2015 -- 3/18/2015. [ bib | slides ]

• M. J. Zahr and C. Farhat, “PDE-constrained optimization using progressively constructed reduced-order models,” in World Congress on Computational Mechanics XI (WCCM XI), (Barcelona, Spain), 7/20/2014 -- 7/25/2014. [ bib | slides ]

• M. J. Zahr, K. Washabaugh, and C. Farhat, “Robust reduced-order models via fast, low-rank basis updates,” in 2014 SIAM Annual Meeting, (Chicago, Illinois), 7/7/2014 -- 7/11/2014. [ bib | slides ]

• M. J. Zahr and P.-O. Persson, “Hyperreduced models for discontinuous Galerkin finite element methods,” in International Conference on Spectral and High Order Methods (ICOSAHOM), (Salt Lake City, Utah), 6/23/2014 -- 6/27/2014. [ bib ]

• M. J. Zahr and C. Farhat, “Rapid nonlinear topology optimization using precomputed reduced-order models,” in 17th US National Congress on Theoretical and Applied Mechanics (USNCTAM), (East Lansing, Michigan), 6/15/2014 -- 6/20/2014. [ bib | slides ]

• M. J. Zahr and C. Farhat, “PDE-constrained optimization using hyper-reduced models,” in SIAM Conference on Optimization, (San Diego, California), 5/19/2014 -- 5/22/2014. [ bib | slides ]

• M. J. Zahr and C. Farhat, “Rapid nonlinear topology optimization using reduced-order models,” in 12th U.S. National Congress on Computational Mechanics (USNCCM12), (Raleigh, North Carolina), 7/22/2013 -- 7/25/2013. [ bib | slides ]

• M. J. Zahr, D. Amsallem, and C. Farhat, “Construction of parametrically robust CFD-based reduced-order models for PDE-constrained optimization,” in 43rd AIAA Fluid Dynamics Conference and Exhibit, (San Diego, California), 6/24/2013 -- 6/27/2013. [ bib | slides | link ]

• M. J. Zahr and P.-O. Persson, “Performance tuning of Newton-GMRES methods for discontinuous Galerkin discretizations of the Navier-Stokes equations,” in 43rd AIAA Fluid Dynamics Conference and Exhibit, (San Diego, California), 6/24/2013 -- 6/27/2013. [ bib | slides | link ]

• D. Amsallem, M. J. Zahr, Y. Choi, and C. Farhat, “Design optimization using hyper-reduced order models,” in 10th World Congress on Structural and Multidisciplinary Optimization (WCSMO10), (Orlando, Florida), 3/19/2013 -- 3/24/2013. [ bib ]

• M. J. Zahr and C. Farhat, “Construction of parametrically robust reduced-order models for PDE-constrained optimization,” in 10th World Congress on Structural and Multidisciplinary Optimization (WCSMO10), (Orlando, Florida), 3/19/2013 -- 3/24/2013. [ bib ]

• D. Amsallem, K. Washabaugh, M. J. Zahr, and C. Farhat, “Efficient nonlinear model reduction approach using local reduced bases and hyper-reduction,” in 2013 SIAM Conference on Computational Science and Engineering (CSE13), (Boston, Massachusetts), 2/25/2013 -- 3/1/2013. [ bib ]

• M. J. Zahr and C. Farhat, “Efficient, parametrically robust nonlinear model reduction using local reduced-order bases,” in 2013 SIAM Conference on Computational Science and Engineering (CSE13), (Boston, Massachusetts), 2/25/2013 -- 3/1/2013. [ bib | slides ]

• D. Amsallem, M. J. Zahr, and C. Farhat, “Nonlinear model order reduction with local reduced-order bases for hyper-reduction,” in Proceedings of the 2012 European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS), (Vienna, Austria), 9/10/2012 -- 9/14/2012. [ bib ]

• D. Amsallem, C. Farhat, and M. J. Zahr, “Real-time CFD-based fluid-structure predictions using a database of parameterized reduced-order models,” in 10th World Congress on Computational Mechanics (WCCM X), (Sao Paolo, Brazil), 7/8/2012 -- 7/13/2012. [ bib ]

• K. Carlberg, J. Cortial, D. Amsallem, M. J. Zahr, and C. Farhat, “The GNAT nonlinear model reduction method and its application to fluid dynamics problems,” in 6th AIAA Theoretical Fluid Mechanics Conference, (Honolulu, Hawaii), 6/27/2011 -- 6/30/2011. [ bib ]

• D. Amsallem, M. J. Zahr, and C. Farhat, “On the robustness of residual minimization for constructing POD-based reduced-order CFD models,” in 43rd AIAA Fluid Dynamics Conference and Exhibit, (San Diego, California), 6/27/2011 -- 6/30/2011. [ bib ]

Poster

• T. Huang, C. Naudet, and M. J. Zahr, “High-order implicit shock tracking for high-speed flows,” in SIAM Conference on Computational Science and Engineering, (Virtual Event; Fort Worth, Texas), 3/1/2021 -- 3/5/2021. [ bib | poster ]

• J. Wang and M. J. Zahr, “A topology optimization method with high order level-set based boundary tracking mesh,” in Topology Optimization Roundtable, (Albuquerque, New Mexico), 3/10/2019 -- 3/13/2019. [ bib | poster ]

• A. Kiran and M. J. Zahr, “An optimization-based discontinuous Galerkin approach for high-order accurate shock tracking,” in LBNL Summer Student Program Poster Session, (Berkeley, California), 8/2/2018. [ bib | poster ]

• M. J. Zahr and P.-O. Persson, “Adjoint-based optimization, uncertainty quantification, and data assimilation of multiphysics systems using high-order numerical discretizations,” in DOE ASCR Applied Mathematics PI Meeting, (Washington D.C.), 9/11/2017 -- 9/12/2017. [ bib | poster ]

• M. J. Zahr, “Efficient PDE-constrained optimization using adaptive model reduction,” in Institute for Mathematics and its Applications: Frontiers in PDE-Constrained Optimization, (Minneapolis, Minnesota), 6/6/2016 -- 6/10/2016. [ bib | poster ]

• M. J. Zahr, “Efficient PDE-constrained optimization using adaptive model reduction,” in 2016 Stanford Computational Mathematics and Engineering Affiliates Meeting, (Stanford, California), 5/1/2016. [ bib | poster ]

• M. J. Zahr, “Efficient PDE-constrained optimization using adaptive model reduction,” in 2016 Stanford Aerospace and Astronautics Affiliates Meeting, (Stanford, California), 4/26/2016. [ bib | poster ]

• M. J. Zahr and C. Farhat, “Accelerating PDE-constrained optimization using adaptive reduced-order models,” in Army High Performance Computing Research Center (AHPCRC) Review Meeting, (Santa Cruz, California), 1/18/2016 -- 1/20/2016. [ bib | poster ]

• M. J. Zahr, P. Avery, and C. Farhat, “A hyperreduced FE² method for real-time multiscale simulations,” in Army High Performance Computing Research Center (AHPCRC) Review Meeting, (Santa Cruz, California), 1/18/2016 -- 1/20/2016. [ bib | poster ]

• M. J. Zahr and C. Farhat, “Accelerating PDE-constrained optimization using progressively-constructed reduced-order models,” in Army High Performance Computing Research Center (AHPCRC) Review Meeting, (Santa Cruz, California), 8/10/2015 -- 8/12/2016. [ bib | poster ]

• M. J. Zahr and P.-O. Persson, “Unsteady PDE-constrained optimization using high-order DG-FEM,” in 13th U.S. National Congress on Computational Mechanics (USNCCM13), (San Diego, California), 7/26/2015 -- 7/30/2015. [ bib | poster ]

• M. J. Zahr and C. Farhat, “Progressive construction of a parametric reduced-order model for PDE-constrained optimization,” in 2014 DOE CSGF Annual Program Review, (Washington D.C.), 7/14/2014 -- 7/17/2014. [ bib | poster ]

• M. J. Zahr, “PDE-constrained optimization using progressively constructed reduced-order models,” in 2014 Stanford Aerospace and Astronautics Affiliates Meeting, (Stanford, California), 4/28/2014. [ bib | poster ]

• M. J. Zahr and C. Farhat, “Rapid topology optimization using reduced-order models,” in 2013 DOE CSGF Annual Program Review, (Washington D.C.), 7/25/2013 -- 7/27/2013. [ bib | poster ]

• M. J. Zahr and C. Farhat, “Rapid structural shape optimization using progressively constructed reduced-order models,” in 12th U.S. National Congress on Computational Mechanics (USNCCM12), (Raleigh, North Carolina), 7/22/2013 -- 7/25/2013. [ bib | poster ]

• M. J. Zahr and C. Farhat, “Design of fluid mechanical systems using reduced-order models,” in 2012 DOE CSGF Annual Program Review, (Washington D.C.), 7/26/2012 -- 7/28/2012. [ bib | poster ]

• M. J. Zahr, C. Farhat, K. Carlberg, and D. Amsallem, “Comparison of model reduction techniques on linear and nonlinear electrical, mechanical, and biological systems,” in UC Berkeley Undergraduate Research Poster Session, (Berkeley, California), 4/19/2011. [ bib | poster ]

• M. J. Zahr, C. Farhat, K. Carlberg, and D. Amsallem, “Comparison of model reduction techniques on linear and nonlinear electrical, mechanical, and biological systems,” in 2011 SIAM Conference on Computational Science and Engineering (CSE11), (Reno, Nevada), 3/1/2011. [ bib | poster ]

• M. J. Zahr, N. Luco, and H. Ryu, “Mitigation of seismic risk pertaining to non-ductile concrete buildings using seismic risk maps,” in 2009 PEER Annual Meeting, (San Francisco, California), 10/15/2009 -- 10/16/2009. [ bib | poster ]

• M. J. Zahr, N. Luco, and H. Ryu, “Mitigation of seismic risk pertaining to non-ductile concrete buildings using seismic risk maps,” in 2009 Young Researcher's Symposium, (Buffalo, New York), 8/20/2009 -- 8/22/2009. [ bib | poster ]