Jaime Peraire

Jaime Peraire (Catalan language: Jaume Peraire i Guitart), a native of Barcelona, is the H. N. Slater Professor of Aeronautics and Astronautics and former head of the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology. He specializes in computational aspects of aeronautics and astronautics, and is interested in improved teaching methods in various fields of engineering. Provided by Wikipedia
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  1. 1
    Non-modal analysis of spectral element methods: Towards accurate and robust large-eddy simulations
    by Fernandez, Pablo, Peraire, Jaime
    Published 2020
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  2. 2
    Newton-GMRES Preconditioning for Discontinuous Galerkin Discretizations of the Navier-Stokes Equations
    by Persson, Per-Olof, Peraire, Jaime
    Published 2010
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  3. 3
    Gaussian functional regression for linear partial differential equations
    by Nguyen, Ngoc Cuong, Peraire, Jaime
    Published 2017
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  4. 4
    A low order model for vertical axis wind turbines
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  5. 5
    A physics-based shock capturing method for unsteady laminar and turbulent flows
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  6. 6
    Computing parametrized solutions for plasmonic nanogap structures
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  7. 7
    Modeling and observation of mid-infrared nonlocality in effective epsilon-near-zero ultranarrow coaxial apertures
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  8. 8
    Spectral approximations by the HDG method
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  9. 9
    A physics-based shock capturing method for unsteady laminar and turbulent flows
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  10. 10
    Subgrid-scale modeling and implicit numerical dissipation in DG-based Large-Eddy Simulation
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  11. 11
    The hybridized Discontinuous Galerkin method for Implicit Large-Eddy Simulation of transitional turbulent flows
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  12. 12
    Accelerated Residual Methods for the Iterative Solution of Systems of Equations
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  13. 13
    A hybridizable discontinuous Galerkin method for computing nonlocal electromagnetic effects in three-dimensional metallic nanostructures
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  14. 14
    Functional Regression for State Prediction Using Linear PDE Models and Observations
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  15. 15
    Implicit Large Eddy Simulation of Transitional Flows Over Airfoils and Wings
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  16. 16
    A model and variance reduction method for computing statistical outputs of stochastic elliptic partial differential equations
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  17. 17
    Distortion and quality measures for validating and generating high-order tetrahedral meshes
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  18. 18
    An Empirical Interpolation and Model-Variance Reduction Method for Computing Statistical Outputs of Parametrized Stochastic Partial Differential Equations
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  19. 19
    Implicit large-eddy simulation of compressible flows using the Interior Embedded Discontinuous Galerkin method
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  20. 20
    A multiscale continuous Galerkin method for stochastic simulation and robust design of photonic crystals
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