Publications

Recent manuscripts

Z. Zhang; M. Guo; J. S. Hesthaven : Model order reduction for large-scale structures with local nonlinearities. 2018-11-09.
D. Ray; J. S. Hesthaven : Detecting troubled-cells on two-dimensional unstructured grids using a neural network. 2018-11-01.
M. Guo; J. S. Hesthaven : Data-driven reduced order modeling for time-dependent problems; Computer methods in applied mechanics and engineering. 2018-10.
J. S. Hesthaven; F. Mönkeberg : Entropy stable essentially non-oscillatory methods based on RBF reconstructions. 2018-08-14.
M. Hajihassanpour; B. Bonev; J. S. Hesthaven : Validation study of static and dynamic tsunami source models using the discontinuous Galerkin method for the spherical shallow water equations. 2018-08-11.
T. Lahivaara; A. Pasanen; L. Karkkainen; J. M. Huttunen; J. S. Hesthaven et al. : Estimation of groundwater storage from seismic data using deep learning; Geophysics Research Letters. 2018-06-24.
J. Yu; J. S. Hesthaven; C. Yan : A data-driven shock capturing approach for discontinuous Galekin methods. 2018-06-18.
Q. Wang; J. S. Hesthaven; D. Ray : Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem; Journal of computational physics. 2018-06-18.
Q. Wang; J. S. Hesthaven; D. Ray : Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem; Journal of Computational Physics. 2018-06-18.
M. Gorji : Treatment of long-range interactions arising in the Enskog-Vlasov description of dense fluids; Journal of Computational Physics. 2018.
J. S. Hesthaven; C. Pagliantini : Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a Nonlinear Poisson Structure. 2018.
J. S. Hesthaven; C. Pagliantini : Structure-Preserving Reduced Basis Methods for Hamiltonian Systems with a Nonlinear Poisson Structure; Foundations of Computational Mathematics. 2018.
K. Shukla; J. S. Hesthaven; J. M. Carcione; R. Ye; J. de la Puenta et al. : A nodal discontinuous Galerkin finite element method for the poroelastic wave equation; Computational Geoscience. 2018.
M. H. Gorji : Logarithmic Gradient Transformation and Chaos Expansion of Ito Processes. 2018.
A. Karakus; N. Chalmers; J. S. Hesthaven; T. Warburton : Discontinuous Galerkin Discretizations of the Boltzmann Equations in 2D: semi-analytic time stepping and absorbing boundary layers. 2018.
B. Maboudi Afkham; A. Bhatt; B. Haasdonk; J. S. Hesthaven : SYMPLECTIC MODEL-REDUCTION WITH A WEIGHTED INNER PRODUCT; SIAM Journal of Scientific Computing. 2018.
J. Yu; J. S. Hesthaven : A Flow Field Reconstruction Method Using Artificial Neural Networks; Aiaa Journal. 2018.
J. Yu; J. S. Hesthaven : A comparative study of shock capturing models for the discontinuous Galerkin method; Journal of Computational Physics. 2017.
B. Maboudi Afkham; J. S. Hesthaven : Structure-Preserving Model-Reduction of Dissipative Hamiltonian Systems; Journal of Scientific Computing. 2017.
L. Zhao; W. Deng; J. S. Hesthaven : Spectral methods for tempered fractional differential equations; Mathematics of Computation. 2016.
F. Chen; J. S. Hesthaven; Y. Maday; A. S. Nielsen : An Adjoint Approach for Stabilizing the Parareal Method; Comptes rendus des séances de l'Académie des Sciences. Série A, Sciences mathématiques**. 2015.
R. Munipalli; X. Zhu; S. Menon; J. S. Hesthaven : Model Reduction Opportunities in Detailed Simulations of Combustion Dynamics; Aiaa Journal. 2014.
K. Chowdhary; J. S. Hesthaven; E. Walsh : Sparse Gradient Image Reconstruction from Incomplete Fourier Measurements and Prior Edge Information; Communications in Computational Physics.
Z. Gao; J. S. Hesthaven; T. Warburton : Efficient Absorbing Layers for Weakly Compressible Flows; Journal of Scientific Computing.