Accelerating Eulerian Fluid Simulation With Convolutional Networks

13 July 2016

Papers citing "Accelerating Eulerian Fluid Simulation With Convolutional Networks"

50 / 194 papers shown

Title
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids Dan Koschier Jan Bender B. Solenthaler M. Teschner AI4CE 22 84 0 15 Sep 2020
Large-scale Neural Solvers for Partial Differential Equations Patrick Stiller Friedrich Bethke M. Böhme R. Pausch Sunna Torge A. Debus J. Vorberger Michael Bussmann Nico Hoffmann AI4CE 8 26 0 08 Sep 2020
Non-intrusive and semi-intrusive uncertainty quantification of a multiscale in-stent restenosis model Dongwei Ye A. Nikishova L. Veen Pavel S. Zun Alfons G. Hoekstra 11 20 0 01 Sep 2020
Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks K. Lye Siddhartha Mishra Deep Ray P. Chandrasekhar 13 74 0 13 Aug 2020
PDE-Driven Spatiotemporal Disentanglement Jérémie Donà Jean-Yves Franceschi Sylvain Lamprier Patrick Gallinari OOD DRL 16 27 0 04 Aug 2020
Statistical Downscaling of Temperature Distributions from the Synoptic Scale to the Mesoscale Using Deep Convolutional Neural Networks T. Sekiyama AI4Cl 11 8 0 20 Jul 2020
Deep learning of thermodynamics-aware reduced-order models from data Quercus Hernandez Alberto Badías D. González Francisco Chinesta Elías Cueto PINN AI4CE 12 79 0 03 Jul 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers Kiwon Um R. Brand Yun Fei Fei Philipp Holl N. Thürey AI4CE 21 257 0 30 Jun 2020
Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize Nils Wandel Michael Weinmann Reinhard Klein AI4CE 19 8 0 15 Jun 2020
Fast Modeling and Understanding Fluid Dynamics Systems with Encoder-Decoder Networks Rohan Thavarajah X. Zhai Zhe-Rui Ma D. Castineira PINN AI4CE 11 8 0 09 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 16 44 0 08 Jun 2020
Accurately Solving Physical Systems with Graph Learning Han Shao Tassilo Kugelstadt Torsten Hädrich Wojciech Palubicki Jan Bender Soren Pirk D. L. Michels AI4CE 14 6 0 06 Jun 2020
Data-Driven Continuum Dynamics via Transport-Teleport Duality Jong-Hoon Ahn AI4CE 14 0 0 27 May 2020
Enhancing accuracy of deep learning algorithms by training with low-discrepancy sequences Siddhartha Mishra T. Konstantin Rusch 19 49 0 26 May 2020
Symbolic Pregression: Discovering Physical Laws from Distorted Video S. Udrescu Max Tegmark 11 40 0 19 May 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 18 12 0 16 May 2020
Deep Learning Convective Flow Using Conditional Generative Adversarial Networks C. Jiang A. Farimani GAN AI4CE 19 8 0 13 May 2020
CFDNet: a deep learning-based accelerator for fluid simulations Octavi Obiols-Sales Abhinav Vishnu Nicholas Malaya Aparna Chandramowlishwaran AI4CE 8 144 0 09 May 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 28 37 0 02 May 2020
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks M. Ribeiro A. Rehman Sheraz Ahmed Andreas Dengel 9 75 0 19 Apr 2020
Data-driven Flood Emulation: Speeding up Urban Flood Predictions by Deep Convolutional Neural Networks Zifeng Guo J. Leitão N. Simões V. Moosavi AI4CE 19 117 0 17 Apr 2020
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow S. Wiewel Byungsoo Kim Vinicius Azevedo B. Solenthaler Nils Thuerey AI4CE 14 34 0 12 Mar 2020
Physics-informed deep learning for incompressible laminar flows Chengping Rao Hao Sun Yang Liu PINN AI4CE 17 223 0 24 Feb 2020
Comparing recurrent and convolutional neural networks for predicting wave propagation Stathi Fotiadis E. Pignatelli Mario Lino Valencia C. Cantwell Amos Storkey Anil A. Bharath 17 37 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin G. Walters Rose Yu AI4CE 52 168 0 08 Feb 2020
Linearly Constrained Neural Networks J. Hendriks Carl Jidling A. Wills Thomas B. Schon 16 34 0 05 Feb 2020
FEA-Net: A Physics-guided Data-driven Model for Efficient Mechanical Response Prediction Houpu Yao Yi Gao Yongming Liu AI4CE 59 66 0 31 Jan 2020
Ada-LISTA: Learned Solvers Adaptive to Varying Models Aviad Aberdam Alona Golts Michael Elad 19 40 0 23 Jan 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 44 185 0 21 Jan 2020
Frequency-Aware Reconstruction of Fluid Simulations with Generative Networks Simon Biland Vinicius Azevedo Byungsoo Kim B. Solenthaler AI4CE GAN 3DV 11 18 0 18 Dec 2019
Neural Networks with Cheap Differential Operators Ricky T. Q. Chen David Duvenaud 12 34 0 08 Dec 2019
Accelerating Surface Tension Calculation in SPH via Particle Classification & Monte Carlo Integration F. Zorrilla Johannes Sappl W. Rauch M. Harders 13 6 0 04 Dec 2019
Towards Sustainable Architecture: 3D Convolutional Neural Networks for Computational Fluid Dynamics Simulation and Reverse DesignWorkflow J. Musil Jakub Knir A. Vitsas Irene Gallou AI4CE 16 8 0 25 Nov 2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 10 356 0 20 Nov 2019
Probabilistic Surrogate Networks for Simulators with Unbounded Randomness Andreas Munk Berend Zwartsenberg Adam Scibior A. G. Baydin Andrew Stewart G. Fernlund A. Poursartip Frank D. Wood TPM 14 4 0 25 Oct 2019
Dynamic Upsampling of Smoke through Dictionary-based Learning Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 21 27 0 21 Oct 2019
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee Suprosanna Shit Abinav Ravi Venkatakrishnan Ivan Ezhov Jana Lipkova Marie Piraud Bjoern H. Menze AI4CE 11 2 0 08 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 20 2 0 07 Oct 2019
A Multi-level procedure for enhancing accuracy of machine learning algorithms K. Lye Siddhartha Mishra Roberto Molinaro 15 32 0 20 Sep 2019
Physics Informed Data Driven model for Flood Prediction: Application of Deep Learning in prediction of urban flood development Kun Qian Abduallah A. Mohamed Christian G. Claudel AI4CE 8 25 0 23 Aug 2019
Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks Tae Min Lee Young-Jin Oh In-Kwon Lee AI4CE 13 6 0 09 Jul 2019
Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems Johannes Sappl L. Seiler M. Harders W. Rauch AI4CE 8 24 0 17 Jun 2019
Physics Enhanced Data-Driven Models with Variational Gaussian Processes Daniel L. Marino Milos Manic 13 3 0 05 Jun 2019
A Multi-Pass GAN for Fluid Flow Super-Resolution Maximilian Werhahn You Xie Mengyu Chu Nils Thuerey AI4CE 9 61 0 04 Jun 2019
Hamiltonian Neural Networks S. Greydanus Misko Dzamba J. Yosinski PINN AI4CE 13 866 0 04 Jun 2019
Learning Neural PDE Solvers with Convergence Guarantees Jun-Ting Hsieh Shengjia Zhao Stephan Eismann L. Mirabella Stefano Ermon AI4CE 11 140 0 04 Jun 2019
Unsupervised Intuitive Physics from Past Experiences Sébastien Ehrhardt Áron Monszpart Niloy J. Mitra Andrea Vedaldi OOD PINN AI4CE SSL 35 2 0 26 May 2019
Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling Jirí Navrátil Alan King Jesus Rios Georgios Kollias R. Torrado Andrés Codas AI4CE 17 32 0 23 May 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 29 659 0 21 May 2019
Transport-Based Neural Style Transfer for Smoke Simulations Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 30 52 0 17 May 2019