vix.ing · top · new · best · stats · spec

Karen Willcox

  1. A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
    2015/01/01 by Peter Benner, Serkan Gugercin, Karen Willcox · 173 citations
    Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Real-time simulation and control systems
  2. Balanced Model Reduction via the Proper Orthogonal Decomposition
    2002/11/01 by K. Willcox, Karen Willcox, J. Peraire · 48 citations
    Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Computational Fluid Dynamics and Aerodynamics
  3. Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization
    2018/01/01 by Benjamin Peherstorfer, Karen Willcox, Max Gunzburger · 71 citations
    Decision Sciences · Computer Science · Physics and Astronomy · #Probabilistic and Robust Engineering Design #Advanced Multi-Objective Optimization Algorithms #Model Reduction and Neural Networks
  4. Aerodynamic Data Reconstruction and Inverse Design Using Proper Orthogonal Decomposition
    2004/08/01 by Tan Bui–Thanh, T. Bui-Thanh, M. Damodaran +2 · 27 citations
    Physics and Astronomy · Engineering · Decision Sciences · #Model Reduction and Neural Networks #Computational Fluid Dynamics and Aerodynamics #Probabilistic and Robust Engineering Design
  5. Survey of multifidelity methods in uncertainty propagation, inference,\n and optimization
    2018/06/28 by Benjamin Peherstorfer, Peherstorfer, Benjamin, Karen Willcox +3 · 38 citations
    Decision Sciences · Computer Science · #Probabilistic and Robust Engineering Design #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
  6. Optimal Model Management for Multifidelity Monte Carlo Estimation
    2016/01/01 by Benjamin Peherstorfer, Karen Willcox, Max Gunzburger · 19 citations
    Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
  7. Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
    2008/01/01 by Tan Bui–Thanh, T. Bui-Thanh, K. Willcox +3 · 9 citations
    Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design
  8. Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference
    2021/10/14 by Shane A. McQuarrie, McQuarrie, Shane A, Parisa Khodabakhshi +3 · 14 citations
    Computer Science · Materials Science · Physics and Astronomy · #35B30 #35R30 #65F22 #Computational Engineering #FOS: Computer and information sciences #FOS: Mathematics #Finance #Magnetic Properties and Applications #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA) #and Science (cs.CE)
  9. A Probabilistic Graphical Model Foundation for Enabling Predictive\n Digital Twins at Scale
    2020/12/10 by Michael G. Kapteyn, Kapteyn, Michael G., Jacob V. R. Pretorius +3 · 11 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computational Engineering #Digital Transformation in Industry #FOS: Computer and information sciences #FOS: Mathematics #Finance #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC) #Real-time simulation and control systems #and Science (cs.CE)
  10. Reduced operator inference for nonlinear partial differential equations
    2021/01/29 by Elizabeth Qian, Qian, Elizabeth, Ionuț-Gabriel Farcaș +3 · 9 citations
    Engineering · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Heat Transfer and Optimization #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods for differential equations
  11. Learning physics-based reduced-order models from data using nonlinear manifolds
    2023/08/05 by Rudy Geelen, Laura Balzano, Geelen, Rudy +5 · 10 citations
    Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #FOS: Mathematics #Model Reduction and Neural Networks #Neural Networks and Applications #Numerical Analysis (math.NA)
  12. Goal-oriented optimal approximations of Bayesian linear inverse problems
    2016/07/07 by Alessio Spantini, Tiangang Cui, Spantini, Alessio +7 · 4 citations
    Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Numerical Analysis (math.NA) #Numerical methods in inverse problems #Statistical Methods and Inference
  13. Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates
    2015/01/01 by Benjamin Peherstorfer, Karen Willcox · 5 citations
    Engineering · Physics and Astronomy · #Computational Fluid Dynamics and Aerodynamics #Fluid Dynamics and Vibration Analysis #Model Reduction and Neural Networks
  14. Balanced Truncation Model Reduction for Lifted Nonlinear Systems
    2019/07/28 by Boris Kramer, Kramer, Boris, Karen Willcox +1 · 2 citations
    Physics and Astronomy · Mathematics · Engineering · #Model Reduction and Neural Networks #Numerical methods for differential equations #Vibration Control and Rheological Fluids
  15. Domain Decomposition for Data-Driven Reduced Modeling of Large-Scale Systems
    2024/09/25 by Ionuț-Gabriel Farcaș, Ionut-Gabriel Farcas, Rayomand P. Gundevia +3 · 3 citations
    Physics and Astronomy · Engineering · Decision Sciences · #Model Reduction and Neural Networks #Real-time simulation and control systems #Probabilistic and Robust Engineering Design
  16. Influence of Transonic Flutter on the Conceptual Design of Next-Generation Transport Aircraft
    2019/03/13 by Max M. J. Opgenoord, Mark Drela, Karen E. Willcox +1 · 1 citation
    Engineering · Physics and Astronomy · #Computational Fluid Dynamics and Aerodynamics #Aeroelasticity and Vibration Control #Model Reduction and Neural Networks
  17. Non-intrusive reduced-order modeling for dynamical systems with spatially localized features
    2025/01/08 by Leonidas Gkimisis, Gkimisis, Leonidas, Nicole Aretz +9 · 4 citations
    Computer Science · Engineering · Physics and Astronomy · #Advanced Measurement and Metrology Techniques #Computer Graphics and Visualization Techniques #Dynamical Systems (math.DS) #FOS: Mathematics #Model Reduction and Neural Networks
  18. A digital twin framework for civil engineering structures
    2023/11/08 by Matteo Torzoni, Marco Tezzele, Stefano Mariani +3 · 1 citation
    Engineering · #Integrated Circuits and Semiconductor Failure Analysis #Machine Fault Diagnosis Techniques #Manufacturing Process and Optimization
  19. Multifidelity Uncertainty Quantification for Ice Sheet Simulations
    2024/12/08 by Nicole Aretz, Aretz, Nicole, Max Gunzburger +5 · 2 citations
    Earth and Planetary Sciences · Environmental Science · #Cryospheric studies and observations #Landslides and related hazards #Meteorological Phenomena and Simulations
  20. Formal Verification of Digital Twins with TLA and Information Leakage Control
    2024/11/27 by Luwen Huang, Lav R. Varshney, Huang, Luwen +3 · 1 citation
    Engineering · #Cryptography and Security (cs.CR) #Digital Transformation in Industry #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Parallel #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering