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1806.02071
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Deep Fluids: A Generative Network for Parameterized Fluid Simulations
6 June 2018
Byungsoo Kim
Vinicius Azevedo
N. Thürey
Theodore Kim
Markus Gross
B. Solenthaler
GAN
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Papers citing
"Deep Fluids: A Generative Network for Parameterized Fluid Simulations"
50 / 153 papers shown
Neural UpFlow: A Scene Flow Learning Approach to Increase the Apparent Resolution of Particle-Based Liquids
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Pierre Poulin
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0
09 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
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C. Cantwell
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138
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0
09 Jun 2021
Invertible Surrogate Models: Joint surrogate modelling and reconstruction of Laser-Wakefield Acceleration by invertible neural networks
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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
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0
01 Jun 2021
Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling
Asia-Pacific Conference on Intelligent Robot Systems (AIRS), 2021
Sajiv Shah
Ayaan Haque
Fei Liu
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0
0
09 May 2021
ACORN: Adaptive Coordinate Networks for Neural Scene Representation
ACM Transactions on Graphics (TOG), 2021
Julien N. P. Martel
David B. Lindell
Connor Z. Lin
E. R. Chan
M. Monteiro
Gordon Wetzstein
3DPC
220
98
0
06 May 2021
Conditional physics informed neural networks
Communications 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 Constraints
International Conference on Pattern Recognition (ICPR), 2021
Lukas Harsch
Johannes Burgbacher
S. Riedelbauch
AI4CE
196
1
0
19 Mar 2021
Frame-independent vector-cloud neural network for nonlocal constitutive modeling on arbitrary grids
Computer 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 dynamics
Proceedings 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
480
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28 Jan 2021
Machine learning for rapid discovery of laminar flow channel wall modifications that enhance heat transfer
APL 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
221
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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
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0
05 Jan 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D
The Physics of Fluids (Phys. Fluids), 2020
Nils Wandel
Michael Weinmann
Reinhard Klein
AI4CE
289
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22 Dec 2020
Simulating Surface Wave Dynamics with Convolutional Networks
Mario Lino Valencia
C. Cantwell
Stathi Fotiadis
E. Pignatelli
Anil Bharath
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101
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0
01 Dec 2020
Discovering Hidden Physics Behind Transport Dynamics
Computer 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 Learning
ACM 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
176
47
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13 Nov 2020
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries
Ali Kashefi
Davis Rempe
Leonidas Guibas
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300
235
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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
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0
15 Sep 2020
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids
Eurographics (EG), 2020
Dan Koschier
Jan Bender
B. Solenthaler
M. Teschner
AI4CE
247
94
0
15 Sep 2020
Large-scale Neural Solvers for Partial Differential Equations
IEEE 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
132
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
200
33
0
23 Jul 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
International Conference on Machine Learning (ICML), 2020
Filipe de Avila Belbute-Peres
T. Economon
J. Zico Kolter
AI4CE
400
254
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
422
315
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
196
64
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
249
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
213
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 Fluids
ACM 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 Systems
ACM Computing Surveys (ACM CSUR), 2020
J. Willard
X. Jia
Shaoming Xu
M. Steinbach
Vipin Kumar
AI4CE
663
525
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 Networks
Eurographics (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 Flows
AIAA 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 learning
Nature 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
177
73
0
26 Nov 2019
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems
Communications in Computational Physics (Commun. Comput. Phys.), 2019
Zeng Yang
Jin-Long Wu
Heng Xiao
AI4CE
228
20
0
15 Nov 2019
Dynamic Upsampling of Smoke through Dictionary-based Learning
ACM Transactions on Graphics (TOG), 2019
Kai-Yi Bai
Wei Li
M. Desbrun
Xiaopei Liu
AI4CE
158
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 Mechanics
Annual Review of Fluid Mechanics (ARFM), 2019
Steven Brunton
B. R. Noack
Petros Koumoutsakos
AI4CE
PINN
250
2,452
0
27 May 2019
Physics-informed Autoencoders for Lyapunov-stable Fluid Flow Prediction
N. Benjamin Erichson
Michael Muehlebach
Michael W. Mahoney
AI4CE
PINN
202
153
0
26 May 2019
Transport-Based Neural Style Transfer for Smoke Simulations
ACM 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
186
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
340
959
0
18 Jan 2019
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