Accelerating Eulerian Fluid Simulation With Convolutional Networks

13 July 2016

Papers citing "Accelerating Eulerian Fluid Simulation With Convolutional Networks"

50 / 194 papers shown

Title
Finite Element Method-enhanced Neural Network for Forward and Inverse Problems R. Meethal B. Obst Mohamed Khalil A. Ghantasala A. Kodakkal K. Bletzinger R. Wüchner AI4CE 7 29 0 17 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 9 11 0 05 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 14 3 0 02 May 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 11 1 0 18 Apr 2022
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks Mykhaylo Zayats Malgorzata J. Zimoñ K. Yeo Sergiy Zhuk 11 5 0 15 Apr 2022
SNUG: Self-Supervised Neural Dynamic Garments I. Santesteban M. Otaduy Dan Casas 3DH AI4CE 14 76 0 05 Apr 2022
Physics-constrained Unsupervised Learning of Partial Differential Equations using Meshes M. Michelis Robert K. Katzschmann AI4CE 19 1 0 30 Mar 2022
A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps Raphael Leiteritz K. Davis Miriam Schulte Dirk Pflüger AI4CE 6 2 0 29 Mar 2022
Half-Inverse Gradients for Physical Deep Learning Patrick Schnell Philipp Holl Nils Thuerey 6 7 0 18 Mar 2022
Deep Neural Networks to Correct Sub-Precision Errors in CFD Akash Haridas N. R. Vadlamani Y. Minamoto 11 4 0 09 Feb 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 25 73 0 28 Jan 2022
Automated Dissipation Control for Turbulence Simulation with Shell Models Ann-Kathrin Dombrowski Klaus-Robert Muller W. Müller AI4CE 11 0 0 07 Jan 2022
Learned Coarse Models for Efficient Turbulence Simulation Kimberly L. Stachenfeld D. Fielding Dmitrii Kochkov M. Cranmer Tobias Pfaff Jonathan Godwin Can Cui S. Ho Peter W. Battaglia Alvaro Sanchez-Gonzalez AI4CE 27 77 0 31 Dec 2021
Latent Space Simulation for Carbon Capture Design Optimization Brian Bartoldson Rui Wang Yu-Hang Fu David Widemann Sam Nguyen J. Bao Zhijie Xu Brenda Ng 15 3 0 22 Dec 2021
Surrogate Model for Shallow Water Equations Solvers with Deep Learning Yalan Song Chaopeng Shen Xiaofeng Liu AI4CE 12 4 0 20 Dec 2021
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations Shen Wang M. Nikfar Joshua C. Agar Yaling Liu PINN DiffM AI4CE 13 3 0 13 Dec 2021
Factorized Fourier Neural Operators Alasdair Tran A. Mathews Lexing Xie Cheng Soon Ong AI4CE 18 140 0 27 Nov 2021
Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows Zhizheng Jiang Fei Gao Renshu Gu Jinlan Xu Gang Xu Timon Rabczuk 3DPC 6 0 0 19 Nov 2021
Subspace Graph Physics: Real-Time Rigid Body-Driven Granular Flow Simulation A. Haeri K. Skonieczny AI4CE 17 2 0 18 Nov 2021
Learning Free-Surface Flow with Physics-Informed Neural Networks Raphael Leiteritz Marcel Hurler Dirk Pflüger PINN AI4CE 17 6 0 17 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 17 92 0 10 Nov 2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs Biswajit Khara Aditya Balu Ameya Joshi S. Sarkar C. Hegde A. Krishnamurthy Baskar Ganapathysubramanian 22 19 0 04 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 27 15 0 28 Sep 2021
Using neural networks to solve the 2D Poisson equation for electric field computation in plasma fluid simulations Li Cheng Ekhi Ajuria Illarramendi Guillaume Bogopolsky M. Bauerheim B. Cuenot 31 19 0 27 Sep 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network Ekhi Ajuria Illarramendi M. Bauerheim B. Cuenot 14 18 0 20 Sep 2021
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs Nils Wandel Michael Weinmann Michael Neidlin Reinhard Klein AI4CE 50 58 0 15 Sep 2021
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations Suprosanna Shit Ivan Ezhov Leon Mächler R. Abinav Jana Lipkova Johannes C. Paetzold Florian Kofler Marie Piraud Bjoern H. Menze AI4CE 17 1 0 03 Sep 2021
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets Octavi Obiols-Sales Abhinav Vishnu Nicholas Malaya Aparna Chandramowlishwaran AI4CE 21 23 0 17 Aug 2021
ST-PCNN: Spatio-Temporal Physics-Coupled Neural Networks for Dynamics Forecasting Yu Huang James Li Min Shi H. Zhuang Xingquan Zhu Laurent Chérubin James H. VanZwieten Yufei Tang AI4CE PINN 23 6 0 12 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 18 62 0 02 Jul 2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto 9 14 0 24 Jun 2021
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids Bruno Roy Pierre Poulin Eric Paquette 8 5 0 09 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 23 48 0 09 Jun 2021
On the reproducibility of fully convolutional neural networks for modeling time-space evolving physical systems Wagner Gonçalves Pinto Antonio Alguacil Michaël Bauerheim 11 2 0 12 May 2021
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows J. Jeon Juhyeong Lee S. J. Kim 11 27 0 07 May 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks Lukas Harsch S. Riedelbauch AI4CE 52 12 0 06 May 2021
Distributed Multigrid Neural Solvers on Megavoxel Domains Aditya Balu Sergio Botelho Biswajit Khara Vinay Rao C. Hegde S. Sarkar Santi S. Adavani A. Krishnamurthy Baskar Ganapathysubramanian AI4CE 6 11 0 29 Apr 2021
Mosaic Flows: A Transferable Deep Learning Framework for Solving PDEs on Unseen Domains Hengjie Wang R. Planas Aparna Chandramowlishwaran Ramin Bostanabad AI4CE 42 61 0 22 Apr 2021
Accelerating GMRES with Deep Learning in Real-Time Kevin Luna Katherine Klymko Johannes P. Blaschke AI4CE 19 13 0 19 Mar 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 11 1 0 19 Mar 2021
dNNsolve: an efficient NN-based PDE solver V. Guidetti F. Muia Y. Welling A. Westphal 12 6 0 15 Mar 2021
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics Keefe Huang M. Krügener Alistair Brown F. Menhorn H. Bungartz D. Hartmann AI4CE 20 24 0 25 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin G. Walters Rose Yu OOD AI4TS AI4CE 19 31 0 20 Feb 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 8 824 0 28 Jan 2021
Artificial Intelligence for Satellite Communication: A Review Fares Fourati Mohamed-Slim Alouini 33 107 0 25 Jan 2021
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations S. Maddu D. Sturm B. Cheeseman Christian L. Müller I. Sbalzarini 16 8 0 15 Jan 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D Nils Wandel Michael Weinmann Reinhard Klein AI4CE 10 50 0 22 Dec 2020
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine Learning Marie-Lena Eckert Kiwon Um Nils Thuerey PINN AI4CE 6 29 0 20 Nov 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 10 190 0 15 Oct 2020
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows Jan Ackmann P. Düben T. Palmer P. Smolarkiewicz AI4Cl AI4CE 11 17 0 06 Oct 2020