Enhancement of shock-capturing methods via machine learning

6 February 2020

Papers citing "Enhancement of shock-capturing methods via machine learning"

6 / 6 papers shown

Title
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 39 43 0 09 Jul 2024
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 45 20 0 30 Mar 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 34 8 0 28 Mar 2023
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 32 49 0 14 Nov 2022
JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows Deniz A. Bezgin Aaron B. Buhendwa Nikolaus A. Adams AI4CE 15 67 0 25 Mar 2022
Spectral Inference Networks: Unifying Deep and Spectral Learning David Pfau Stig Petersen Ashish Agarwal David Barrett Kimberly L. Stachenfeld 51 40 0 06 Jun 2018