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

Title
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based LiquidsProceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), 2021 Bruno Roy Pierre Poulin Eric Paquette 77 6 0 09 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks Mario Lino C. Cantwell Anil A. Bharath Stathi Fotiadis AI4CE 134 56 0 09 Jun 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks Friedrich Bethke R. Pausch Patrick Stiller A. Debus Michael Bussmann Nico Hoffmann 95 4 0 01 Jun 2021
Data-Driven Shadowgraph Simulation of a 3D Object Anna Willmann Patrick Stiller A. Debus A. Irman R. Pausch Yen-Yu Chang Michael Bussmann Nico Hoffmann 91 3 0 01 Jun 2021
Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch ModelingAsia-Pacific Conference on Intelligent Robot Systems (AIRS), 2021 Sajiv Shah Ayaan Haque Fei Liu 166 0 0 09 May 2021
ACORN: Adaptive Coordinate Networks for Neural Scene RepresentationACM Transactions on Graphics (TOG), 2021 Julien N. P. Martel David B. Lindell Connor Z. Lin E. R. Chan M. Monteiro Gordon Wetzstein 3DPC 216 98 0 06 May 2021
Conditional physics informed neural networksCommunications in nonlinear science & numerical simulation (CNSNS), 2021 A. Kovacs L. Exl Alexander Kornell J. Fischbacher Markus Hovorka ... N. Sakuma Akihito Kinoshita T. Shoji A. Kato T. Schrefl PINN 128 56 0 06 Apr 2021
A Latent space solver for PDE generalization Rishikesh Ranade C. Hill Haiyang He Amir Maleki Jay Pathak AI4CE 163 4 0 06 Apr 2021
Transferable Model for Shape Optimization subject to Physical ConstraintsInternational Conference on Pattern Recognition (ICPR), 2021 Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 192 1 0 19 Mar 2021
Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary gridsComputer Methods in Applied Mechanics and Engineering (CMAME), 2021 Xueqing Zhou Jiequn Han Heng Xiao 187 34 0 11 Mar 2021
Machine learning accelerated computational fluid dynamicsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2021 Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 458 1,022 0 28 Jan 2021
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transferAPL Machine Learning (AML), 2021 Yuri Koide Arjun J. Kaithakkal Matthias Schniewind B. Ladewig A. Stroh Pascal Friederich AI4CE 91 2 0 19 Jan 2021
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations Suryanarayana Maddu D. Sturm B. Cheeseman Christian L. Müller I. Sbalzarini 209 9 0 15 Jan 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Christopher C. Pain Wenhan Luo 120 8 0 05 Jan 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3DThe Physics of Fluids (Phys. Fluids), 2020 Nils Wandel Michael Weinmann Reinhard Klein AI4CE 289 60 0 22 Dec 2020
Simulating Surface Wave Dynamics with Convolutional Networks Mario Lino Valencia C. Cantwell Stathi Fotiadis E. Pignatelli Anil Bharath AI4CE 101 12 0 01 Dec 2020
Discovering Hidden Physics Behind Transport DynamicsComputer Vision and Pattern Recognition (CVPR), 2020 Peirong Liu Lin Tian Yubo Zhang S. Aylward Yueh Z. Lee Marc Niethammer DiffM MedIm 129 10 0 24 Nov 2020
ScalarFlow: A Large-Scale Volumetric Data Set of Real-world Scalar Transport Flows for Computer Animation and Machine LearningACM Transactions on Graphics (TOG), 2019 Marie-Lena Eckert Kiwon Um Nils Thuerey PINN AI4CE 122 32 0 20 Nov 2020
Efficient nonlinear manifold reduced order model Youngkyu Kim Youngsoo Choi David Widemann T. Zohdi 168 47 0 13 Nov 2020
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries Ali Kashefi Davis Rempe Leonidas Guibas 3DPC AI4CE 296 234 0 15 Oct 2020
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach A. Dener M. Miller R. Churchill T. Munson Choong-Seock Chang 116 23 0 15 Sep 2020
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and SolidsEurographics (EG), 2020 Dan Koschier Jan Bender B. Solenthaler M. Teschner AI4CE 247 94 0 15 Sep 2020
Large-scale Neural Solvers for Partial Differential EquationsIEEE International Conference on Systems, Man and Cybernetics (SMC), 2020 Patrick Stiller Friedrich Bethke M. Böhme R. Pausch Sunna Torge A. Debus J. Vorberger Michael Bussmann Nico Hoffmann AI4CE 128 29 0 08 Sep 2020
Latent-space time evolution of non-intrusive reduced-order models using Gaussian process emulation R. Maulik T. Botsas Nesar Ramachandra L. Mason Indranil Pan 196 33 0 23 Jul 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow PredictionInternational Conference on Machine Learning (ICML), 2020 Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 368 253 0 08 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 414 314 0 30 Jun 2020
Phase space learning with neural networks Jaime Lopez Garcia Ángel Rivero Jiménez AI4CE 52 0 0 22 Jun 2020
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database M. Buzzicotti F. Bonaccorso P. C. D. Leoni Luca Biferale AI4CE 188 63 0 16 Jun 2020
Learning Incompressible Fluid Dynamics from Scratch -- Towards Fast, Differentiable Fluid Models that Generalize Nils Wandel Michael Weinmann Reinhard Klein AI4CE 243 9 0 15 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 229 48 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 205 6 0 06 Jun 2020
Data-Driven Continuum Dynamics via Transport-Teleport Duality Jong-Hoon Ahn AI4CE 117 0 0 27 May 2020
Lagrangian Neural Style Transfer for FluidsACM Transactions on Graphics (TOG), 2020 Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 207 46 0 02 May 2020
Deep learning-based topological optimization for representing a user-specified design area Keigo Nakamura Yoshiro Suzuki 85 9 0 11 Apr 2020
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow S. Wiewel Byungsoo Kim Vinicius Azevedo B. Solenthaler Nils Thuerey AI4CE 129 37 0 12 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental SystemsACM Computing Surveys (ACM CSUR), 2020 J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 623 519 0 10 Mar 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 237 37 0 20 Feb 2020
Frequency-Aware Reconstruction of Fluid Simulations with Generative NetworksEurographics (EG), 2019 Simon Biland Vinicius Azevedo Byungsoo Kim B. Solenthaler AI4CE GAN 3DV 102 18 0 18 Dec 2019
Parameter-Conditioned Sequential Generative Modeling of Fluid FlowsAIAA Journal (AIAA J.), 2019 Jeremy Morton F. Witherden Mykel J. Kochenderfer GAN MedIm AI4CE 101 10 0 14 Dec 2019
Enabling real-time multi-messenger astrophysics discoveries with deep learningNature Reviews Physics (Nat. Rev. Phys.), 2019 Eliu A. Huerta Gabrielle Allen I. Andreoni J. Antelis E. Bachelet ... Wei Wei J. Wells T. Williams Jinjun Xiong Zhizhen Zhao AI4CE 169 73 0 26 Nov 2019
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical SystemsCommunications in Computational Physics (Commun. Comput. Phys.), 2019 Zeng Yang Jin-Long Wu Heng Xiao AI4CE 220 20 0 15 Nov 2019
Dynamic Upsampling of Smoke through Dictionary-based LearningACM Transactions on Graphics (TOG), 2019 Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 138 32 0 21 Oct 2019
Irregular Convolutional Auto-Encoder on Point Clouds Yuhui Zhang G. Gutmann Konagaya Akihiko 3DPC 79 2 0 07 Oct 2019
A Multi-Pass GAN for Fluid Flow Super-Resolution Maximilian Werhahn You Xie Mengyu Chu Nils Thuerey AI4CE 149 64 0 04 Jun 2019
Machine Learning for Fluid MechanicsAnnual Review of Fluid Mechanics (ARFM), 2019 Steven Brunton B. R. Noack Petros Koumoutsakos AI4CE PINN 250 2,436 0 27 May 2019
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction N. Benjamin Erichson Michael Muehlebach Michael W. Mahoney AI4CE PINN 198 153 0 26 May 2019
Transport-Based Neural Style Transfer for Smoke SimulationsACM Transactions on Graphics (TOG), 2019 Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 127 57 0 17 May 2019
Robust Reference Frame Extraction from Unsteady 2D Vector Fields with Convolutional Neural Networks Byungsoo Kim Tobias Günther 3DPC 119 44 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 178 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 336 957 0 18 Jan 2019