Follow
Deep Ray
Title
Cited by
Cited by
Year
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
Q Wang, JS Hesthaven, D Ray
Journal of computational physics 384, 289-307, 2019
2432019
Deep learning observables in computational fluid dynamics
KO Lye, S Mishra, D Ray
Journal of Computational Physics 410, 109339, 2020
1612020
An artificial neural network as a troubled-cell indicator
D Ray, JS Hesthaven
Submitted, 2017
1502017
Controlling oscillations in high-order discontinuous Galerkin schemes using artificial viscosity tuned by neural networks
N Discacciati, JS Hesthaven, D Ray
Journal of Computational Physics 409, 109304, 2020
692020
Detecting troubled-cells on two-dimensional unstructured grids using a neural network
D Ray, JS Hesthaven
Journal of Computational Physics 397, 108845, 2019
692019
Constraint-aware neural networks for Riemann problems
J Magiera, D Ray, JS Hesthaven, C Rohde
Journal of Computational Physics 409, 109345, 2020
622020
Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks
KO Lye, S Mishra, D Ray, P Chandrashekar
Computer Methods in Applied Mechanics and Engineering 374, 113575, 2021
612021
Entropy stable scheme on two-dimensional unstructured grids for Euler equations
D Ray, P Chandrashekar, US Fjordholm, S Mishra
Communications in Computational Physics 19 (5), 1111-1140, 2016
592016
Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks
L Schwander, D Ray, JS Hesthaven
Journal of Computational Physics 431, 110144, 2021
312021
A sign preserving WENO reconstruction method
US Fjordholm, D Ray
Journal of Scientific Computing 68, 42-63, 2016
292016
Solution of physics-based Bayesian inverse problems with deep generative priors
DV Patel, D Ray, AA Oberai
Computer Methods in Applied Mechanics and Engineering 400, 115428, 2022
262022
An entropy stable finite volume scheme for the two dimensional Navier–Stokes equations on triangular grids
D Ray, P Chandrashekar
Applied Mathematics and Computation 314, 257-286, 2017
192017
Multilevel Monte Carlo finite difference methods for fractional conservation Laws with random data
U Koley, D Ray, T Sarkar
SIAM/ASA Journal on Uncertainty Quantification 9 (1), 65-105, 2021
172021
Entropy stable schemes for compressible Euler equations
D Ray, P Chandrashekar
Int. J. Numer. Anal. Model. Ser. B 4 (4), 335-352, 2013
162013
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems
D Ray, H Ramaswamy, DV Patel, AA Oberai
arXiv preprint arXiv:2202.07773, 2022
152022
Variationally mimetic operator networks
D Patel, D Ray, MRA Abdelmalik, TJR Hughes, AA Oberai
Computer Methods in Applied Mechanics and Engineering 419, 116536, 2024
132024
Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty
D Ray, J Murgoitio-Esandi, A Dasgupta, AA Oberai
Computer Methods in Applied Mechanics and Engineering 417, 116338, 2023
82023
A Third-Order Entropy Stable Scheme for the Compressible Euler Equations
D Ray
Theory, Numerics and Applications of Hyperbolic Problems II: Aachen, Germany …, 2018
82018
On the approximation of rough functions with deep neural networks
T De Ryck, S Mishra, D Ray
SeMA Journal 79 (3), 399-440, 2022
72022
A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows
C Liu, D Ray, C Thiele, L Lin, B Riviere
Journal of Computational Physics 449, 110769, 2022
72022
The system can't perform the operation now. Try again later.
Articles 1–20