Deep Ray
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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
Deep learning observables in computational fluid dynamics
KO Lye, S Mishra, D Ray
Journal of Computational Physics 410, 109339, 2020
An artificial neural network as a troubled-cell indicator
D Ray, JS Hesthaven
Submitted, 2017
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
Detecting troubled-cells on two-dimensional unstructured grids using a neural network
D Ray, JS Hesthaven
Journal of Computational Physics 397, 108845, 2019
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
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
Constraint-aware neural networks for Riemann problems
J Magiera, D Ray, JS Hesthaven, C Rohde
Journal of Computational Physics 409, 109345, 2020
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
A sign preserving WENO reconstruction method
US Fjordholm, D Ray
Journal of Scientific Computing 68, 42-63, 2016
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
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
Entropy stable schemes for compressible Euler equations
D Ray, P Chandrashekar
Int. J. Numer. Anal. Model. Ser. B 4 (4), 335-352, 2013
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
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
Variationally mimetic operator networks
D Patel, D Ray, MRA Abdelmalik, TJR Hughes, AA Oberai
Computer Methods in Applied Mechanics and Engineering 419, 116536, 2024
A Third-Order Entropy Stable Scheme for the Compressible Euler Equations
D Ray
Theory, Numerics and Applications of Hyperbolic Problems II: Aachen, Germany …, 2018
Entropy stable finite difference and finite volume schemes for compressible flows
D Ray
Mumbai, 2017
Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty
D Ray, J Murgoitio-Esandi, A Dasgupta, AA Oberai
arXiv preprint arXiv:2306.04895, 2023
Deep Learning and Computational Physics (Lecture Notes)
D Ray, O Pinti, AA Oberai
arXiv preprint arXiv:2301.00942, 2023
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