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A Latent space solver for PDE generalization

A Latent space solver for PDE generalization

6 April 2021
Rishikesh Ranade
C. Hill
Haiyang He
Amir Maleki
Jay Pathak
    AI4CE
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Papers citing "A Latent space solver for PDE generalization"

12 / 12 papers shown
Title
Machine learning accelerated computational fluid dynamics
Machine learning accelerated computational fluid dynamics
Dmitrii Kochkov
Jamie A. Smith
Ayya Alieva
Qing Wang
M. Brenner
Stephan Hoyer
AI4CE
123
865
0
28 Jan 2021
An unsupervised learning approach to solving heat equations on chip
  based on Auto Encoder and Image Gradient
An unsupervised learning approach to solving heat equations on chip based on Auto Encoder and Image Gradient
Haiyang He
Jay Pathak
51
24
0
19 Jul 2020
Solver-in-the-Loop: Learning from Differentiable Physics to Interact
  with Iterative PDE-Solvers
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
52
271
0
30 Jun 2020
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes
  Equations using Finite Volume Discretization
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization
Rishikesh Ranade
C. Hill
Jay Pathak
AI4CE
127
125
0
17 May 2020
Latent Space Subdivision: Stable and Controllable Time Predictions for
  Fluid Flow
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow
S. Wiewel
Byungsoo Kim
Vinicius Azevedo
B. Solenthaler
Nils Thuerey
AI4CE
42
34
0
12 Mar 2020
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
166
49
0
27 Feb 2020
Physics-informed deep learning for incompressible laminar flows
Physics-informed deep learning for incompressible laminar flows
Chengping Rao
Hao Sun
Yang Liu
PINN
AI4CE
106
224
0
24 Feb 2020
Learning to Control PDEs with Differentiable Physics
Learning to Control PDEs with Differentiable Physics
Philipp Holl
V. Koltun
Nils Thuerey
AI4CE
PINN
73
189
0
21 Jan 2020
Lift & Learn: Physics-informed machine learning for large-scale
  nonlinear dynamical systems
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems
E. Qian
Boris Kramer
Benjamin Peherstorfer
Karen E. Willcox
AI4CE
79
267
0
17 Dec 2019
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Byungsoo Kim
Vinicius Azevedo
N. Thürey
Theodore Kim
Markus Gross
B. Solenthaler
GAN
55
389
0
06 Jun 2018
Hidden Physics Models: Machine Learning of Nonlinear Partial
  Differential Equations
Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations
M. Raissi
George Karniadakis
AI4CE
PINN
73
1,137
0
02 Aug 2017
OptNet: Differentiable Optimization as a Layer in Neural Networks
OptNet: Differentiable Optimization as a Layer in Neural Networks
Brandon Amos
J. Zico Kolter
156
963
0
01 Mar 2017
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