Deep Fluids: A Generative Network for Parameterized Fluid Simulations

Deep Fluids: A Generative Network for Parameterized Fluid Simulations

6 June 2018

Vinicius Azevedo

Markus Gross

Papers citing "Deep Fluids: A Generative Network for Parameterized Fluid Simulations"

8 / 58 papers shown

Title
Dynamic Upsampling of Smoke through Dictionary-based Learning Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 26 27 0 21 Oct 2019
A Multi-Pass GAN for Fluid Flow Super-Resolution Maximilian Werhahn You Xie Mengyu Chu Nils Thuerey AI4CE 20 61 0 04 Jun 2019
Transport-Based Neural Style Transfer for Smoke Simulations Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 30 52 0 17 May 2019
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks Byungsoo Kim Tobias Günther 3DPC 24 41 0 25 Mar 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors N. Benjamin Erichson L. Mathelin Z. Yao Steven L. Brunton Michael W. Mahoney J. Nathan Kutz AI4CE 19 34 0 20 Feb 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network Zichao Long Yiping Lu Bin Dong AI4CE 31 542 0 30 Nov 2018
Deep Learning Methods for Reynolds-Averaged Navier-Stokes Simulations of Airfoil Flows Nils Thuerey Konstantin Weissenow L. Prantl Xiangyu Y. Hu AI4CE 33 377 0 18 Oct 2018