Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows

18 October 2018

Papers citing "Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows"

6 / 56 papers shown

Title
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D Nils Wandel Michael Weinmann Reinhard Klein AI4CE 26 50 0 22 Dec 2020
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries Ali Kashefi Davis Rempe Leonidas J. Guibas 3DPC AI4CE 20 193 0 15 Oct 2020
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks Hao Ma Xiangyu Y. Hu Yuxuan Zhang Nils Thuerey O. Haidn AI4CE 26 12 0 16 May 2020
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks Zifeng Guo J. Leitão N. Simões V. Moosavi AI4CE 25 117 0 17 Apr 2020
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 241 439 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016