Deep Fluids: A Generative Network for Parameterized Fluid Simulations

6 June 2018

Markus Gross

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

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Title
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video Yue Gao Hong-Xing Yu Bo Zhu Jiajun Wu VGen 67 1 0 06 Mar 2025
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials Daniel Lanzoni Andrea Fantasia R. Bergamaschini Olivier Pierre-Louis F. Montalenti AI4CE 31 0 0 29 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 34 43 0 09 Jul 2024
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV Florian Achermann Thomas Stastny Bogdan Danciu Andrey Kolobov Jen Jen Chung Roland Siegwart Nicholas R. J. Lawrance 25 2 0 18 Jan 2024
Inferring Hybrid Neural Fluid Fields from Videos Hong-Xing Yu Yang Zheng Yuan Gao Yitong Deng Bo Zhu Jiajun Wu 3DH 29 15 0 11 Dec 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Yue Chang Julius Berner Zhecheng Wang Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 23 7 0 24 Oct 2023
Stability of implicit neural networks for long-term forecasting in dynamical systems Léon Migus J. Salomon Patrick Gallinari AI4TS AI4CE 28 1 0 26 May 2023
Challenges and opportunities for machine learning in multiscale computational modeling Phong C. H. Nguyen Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 22 8 0 22 Mar 2023
A Denoising Diffusion Model for Fluid Field Prediction Gefan Yang Stefan Sommer DiffM AI4CE 30 27 0 27 Jan 2023
CIMS: Correction-Interpolation Method for Smoke Simulation Yun-Hwa Lee Dohae Lee Young-Jin Oh In-Kwon Lee 22 0 0 28 Dec 2022
Certified data-driven physics-informed greedy auto-encoder simulator Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 11 2 0 24 Nov 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 25 0 0 21 Nov 2022
Continual learning autoencoder training for a particle-in-cell simulation via streaming Patrick Stiller Varun Makdani Franz Pöschel R. Pausch A. Debus Michael Bussmann Nico Hoffmann AI4CE 19 3 0 09 Nov 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids Rishikesh Ranade C. Hill Lalit Ghule Jay Pathak AI4CE 33 7 0 11 Oct 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 18 0 0 06 Sep 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 36 2 0 09 Aug 2022
IDLat: An Importance-Driven Latent Generation Method for Scientific Data Jingyi Shen Haoyu Li Jiayi Xu Ayan Biswas Han-Wei Shen MedIm DiffM 20 6 0 05 Aug 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 11 12 0 05 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 24 3 0 02 May 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 19 36 0 26 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 38 36 0 13 Apr 2022
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 28 3 0 22 Dec 2021
Factorized Fourier Neural Operators Alasdair Tran A. Mathews Lexing Xie Cheng Soon Ong AI4CE 34 142 0 27 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities Indranil Pan L. Mason Omar K. Matar AI4CE 41 45 0 07 Nov 2021
Learn-Morph-Infer: a new way of solving the inverse problem for brain tumor modeling Ivan Ezhov Kevin Scibilia Katharina Franitza Felix Steinbauer Suprosanna Shit ... Diana Waldmannstetter M. Menten M. Metz Benedikt Wiestler Bjoern H. Menze 52 26 0 07 Nov 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 34 175 0 21 Oct 2021
Exploratory Lagrangian-Based Particle Tracing Using Deep Learning Mengjiao Han Sudhanshu Sane Chris R. Johnson 13 18 0 15 Oct 2021
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 25 152 0 09 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization N. Durasov Artem Lukoyanov Jonathan Donier Pascal Fua UQCV AI4CE 38 15 0 28 Sep 2021
Model reduction for the material point method via an implicit neural representation of the deformation map Julius Berner Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 29 15 0 25 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 33 19 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 58 60 0 15 Sep 2021
An Extensible Benchmark Suite for Learning to Simulate Physical Systems Karl Otness Arvi Gjoka Joan Bruna Daniele Panozzo Benjamin Peherstorfer T. Schneider Denis Zorin 24 23 0 09 Aug 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 39 65 0 02 Jul 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 25 2 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 11 3 0 01 Jun 2021
ACORN: Adaptive Coordinate Networks for Neural Scene Representation Julien N. P. Martel David B. Lindell Connor Z. Lin E. R. Chan M. Monteiro Gordon Wetzstein 3DPC 22 91 0 06 May 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 24 1 0 19 Mar 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 42 827 0 28 Jan 2021
Adversarially trained LSTMs on reduced order models of urban air pollution simulations César Quilodrán-Casas Rossella Arcucci Christopher C. Pain Yike Guo 43 7 0 05 Jan 2021
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
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach A. Dener M. Miller R. Churchill T. Munson Choong-Seock Chang 6 22 0 15 Sep 2020
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
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 31 223 0 08 Jul 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 17 51 0 16 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 16 44 0 08 Jun 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 28 37 0 02 May 2020
Enabling real-time multi-messenger astrophysics discoveries with deep learning Eliu A. Huerta Gabrielle Allen I. Andreoni J. Antelis E. Bachelet ... Wei Wei J. Wells T. Williams Jinjun Xiong Zhizhen Zhao AI4CE 25 71 0 26 Nov 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
A Multi-Pass GAN for Fluid Flow Super-Resolution Maximilian Werhahn You Xie Mengyu Chu Nils Thuerey AI4CE 14 61 0 04 Jun 2019