Deep Ray

Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem

Qian Wang, Jan S. Hesthaven, Deep Ray · Journal of Computational Physics · 2019 · 280 citations · Full text

Engineering, Mechanical Engineering, Physics +13

Deep learning observables in computational fluid dynamics

Kjetil Olsen Lye, Siddhartha Mishra, Deep Ray · Journal of Computational Physics · 2020 · 166 citations · Full text

Natural Sciences, Computer Science, Physics +9

An artificial neural network as a troubled-cell indicator

Deep Ray, Jan S. Hesthaven · Journal of Computational Physics · 2018 · 150 citations · Full text

Computing, Computer Science, Artificial Intelligence +10

Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks

Kjetil Olsen Lye, Siddhartha Mishra, Deep Ray et al. · Computer Methods in Applied Mechanics and Engineering · 2020 · 85 citations · Full text

Computing, Computational Engineering, Design Optimization +16

Controlling oscillations in high-order Discontinuous Galerkin schemes using artificial viscosity tuned by neural networks

Niccolò Discacciati, Jan S. Hesthaven, Deep Ray · Journal of Computational Physics · 2020 · 77 citations · Full text

Computing, Computational Engineering, Finite Element Analysis +11