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Machine learning accelerated computational fluid dynamics

Machine learning accelerated computational fluid dynamics

28 January 2021
Dmitrii Kochkov
Jamie A. Smith
Ayya Alieva
Qing Wang
M. Brenner
Stephan Hoyer
    AI4CE
ArXivPDFHTML

Papers citing "Machine learning accelerated computational fluid dynamics"

50 / 298 papers shown
Title
Data-Free Learning of Reduced-Order Kinematics
Data-Free Learning of Reduced-Order Kinematics
Nicholas Sharp
Cristian Romero
Alec Jacobson
E. Vouga
P. Kry
David I. W. Levin
Justin Solomon
AI4CE
25
18
0
05 May 2023
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu
Takashi Maruyama
Qingqing Zhao
Gordon Wetzstein
J. Leskovec
PINN
AI4CE
27
19
0
01 May 2023
Improving CFD simulations by local machine-learned correction
Improving CFD simulations by local machine-learned correction
Peetak Mitra
Majid Haghshenas
N. D. Santo
Conor Daly
D. Schmidt
AI4CE
9
0
0
28 Apr 2023
Low-Variance Gradient Estimation in Unrolled Computation Graphs with
  ES-Single
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
Paul Vicol
Zico Kolter
Kevin Swersky
6
6
0
21 Apr 2023
In-Context Operator Learning with Data Prompts for Differential Equation
  Problems
In-Context Operator Learning with Data Prompts for Differential Equation Problems
Liu Yang
Siting Liu
Tingwei Meng
Stanley J. Osher
27
54
0
17 Apr 2023
Adaptive learning of effective dynamics: Adaptive real-time, online
  modeling for complex systems
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems
Ivica Kicic
Pantelis R. Vlachas
G. Arampatzis
Michail Chatzimanolakis
Leonidas J. Guibas
P. Koumoutsakos
AI4CE
22
6
0
04 Apr 2023
On the Relationships between Graph Neural Networks for the Simulation of
  Physical Systems and Classical Numerical Methods
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods
Artur P. Toshev
Ludger Paehler
A. Panizza
Nikolaus A. Adams
AI4CE
PINN
11
5
0
31 Mar 2023
Machine Learning for Partial Differential Equations
Machine Learning for Partial Differential Equations
Steven L. Brunton
J. Nathan Kutz
AI4CE
29
20
0
30 Mar 2023
Invariant preservation in machine learned PDE solvers via error
  correction
Invariant preservation in machine learned PDE solvers via error correction
N. McGreivy
Ammar Hakim
AI4CE
PINN
21
8
0
28 Mar 2023
GNN-based physics solver for time-independent PDEs
GNN-based physics solver for time-independent PDEs
R. J. Gladstone
H. Rahmani
V. Suryakumar
Hadi Meidani
M. DÉlia
A. Zareei
AI4CE
20
15
0
28 Mar 2023
A Multifidelity deep operator network approach to closure for multiscale
  systems
A Multifidelity deep operator network approach to closure for multiscale systems
Shady E. Ahmed
P. Stinis
AI4CE
22
12
0
15 Mar 2023
Physics-constrained neural differential equations for learning
  multi-ionic transport
Physics-constrained neural differential equations for learning multi-ionic transport
Danyal Rehman
J. Lienhard
AI4CE
26
6
0
07 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
15
4
0
06 Mar 2023
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global
  Field Reconstruction
Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction
Yunyang Zhang
Zhiqiang Gong
Xiaoyu Zhao
W. Yao
AI4CE
20
2
0
23 Feb 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with
  Spatial-temporal Decomposition
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition
Xinquan Huang
Wenlei Shi
Qi Meng
Yue Wang
Xiaotian Gao
Jia Zhang
Tie-Yan Liu
AI4CE
21
8
0
20 Feb 2023
A Neural PDE Solver with Temporal Stencil Modeling
A Neural PDE Solver with Temporal Stencil Modeling
Zhiqing Sun
Yiming Yang
Shinjae Yoo
DiffM
AI4CE
14
14
0
16 Feb 2023
Geometric Clifford Algebra Networks
Geometric Clifford Algebra Networks
David Ruhe
Jayesh K. Gupta
Steven De Keninck
Max Welling
Johannes Brandstetter
AI4CE
18
32
0
13 Feb 2023
Multiscale Graph Neural Network Autoencoders for Interpretable
  Scientific Machine Learning
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Shivam Barwey
Varun Shankar
V. Viswanathan
R. Maulik
AI4CE
25
20
0
13 Feb 2023
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher
  order deep operator learning for parametric partial differential equations
Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations
Arnulf Jentzen
Adrian Riekert
Philippe von Wurstemberger
19
1
0
07 Feb 2023
An Implicit GNN Solver for Poisson-like problems
An Implicit GNN Solver for Poisson-like problems
Matthieu Nastorg
M. Bucci
T. Faney
J. Gratien
Guillaume Charpiat
Marc Schoenauer
AI4CE
34
2
0
06 Feb 2023
Computational Discovery of Microstructured Composites with Optimal
  Stiffness-Toughness Trade-Offs
Computational Discovery of Microstructured Composites with Optimal Stiffness-Toughness Trade-Offs
Beichen Li
Bolei Deng
Wan Shou
Tae-Hyun Oh
Yuanming Hu
Yiyue Luo
Liang Shi
Wojciech Matusik
17
18
0
01 Feb 2023
A Denoising Diffusion Model for Fluid Field Prediction
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang
Stefan Sommer
DiffM
AI4CE
22
27
0
27 Jan 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Kai Fukami
K. Fukagata
Kunihiko Taira
AI4CE
14
102
0
26 Jan 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For
  Advection-Dominated Systems
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems
Z. Y. Wan
Leonardo Zepeda-Núnez
Anudhyan Boral
Fei Sha
BDL
AI4CE
11
13
0
25 Jan 2023
ClimaX: A foundation model for weather and climate
ClimaX: A foundation model for weather and climate
Tung Nguyen
Johannes Brandstetter
Ashish Kapoor
Jayesh K. Gupta
Aditya Grover
AI4Cl
AI4CE
11
242
0
24 Jan 2023
Solving Inverse Physics Problems with Score Matching
Solving Inverse Physics Problems with Score Matching
Benjamin Holzschuh
S. Vegetti
Nils Thuerey
DiffM
11
8
0
24 Jan 2023
Koopman neural operator as a mesh-free solver of non-linear partial
  differential equations
Koopman neural operator as a mesh-free solver of non-linear partial differential equations
Wei Xiong
Xiaomeng Huang
Ziyang Zhang
Ruixuan Deng
Pei Sun
Yang Tian
AI4CE
17
31
0
24 Jan 2023
Solving the Discretised Boltzmann Transport Equations using Neural
  Networks: Applications in Neutron Transport
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport
Toby R. F. Phillips
C. Heaney
Boyang Chen
A. Buchan
Christopher C. Pain
29
5
0
24 Jan 2023
Solving the Discretised Neutron Diffusion Equations using Neural
  Networks
Solving the Discretised Neutron Diffusion Equations using Neural Networks
Toby R. F. Phillips
C. Heaney
Boyang Chen
A. Buchan
Christopher C. Pain
21
13
0
24 Jan 2023
Differentiable modeling to unify machine learning and physical models
  and advance Geosciences
Differentiable modeling to unify machine learning and physical models and advance Geosciences
Chaopeng Shen
A. Appling
Pierre Gentine
Toshiyuki Bandai
H. Gupta
...
Chris Rackauckas
Tirthankar Roy
Chonggang Xu
Binayak Mohanty
K. Lawson
AI4CE
26
14
0
10 Jan 2023
Guiding continuous operator learning through Physics-based boundary
  constraints
Guiding continuous operator learning through Physics-based boundary constraints
Nadim Saad
Gaurav Gupta
S. Alizadeh
Danielle C. Maddix
AI4CE
40
20
0
14 Dec 2022
Operator inference with roll outs for learning reduced models from
  scarce and low-quality data
Operator inference with roll outs for learning reduced models from scarce and low-quality data
W. I. Uy
D. Hartmann
Benjamin Peherstorfer
AI4CE
10
15
0
02 Dec 2022
Incremental Spatial and Spectral Learning of Neural Operators for
  Solving Large-Scale PDEs
Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
Robert Joseph George
Jiawei Zhao
Jean Kossaifi
Zong-Yi Li
Anima Anandkumar
AI4CE
13
9
0
28 Nov 2022
Emerging trends in machine learning for computational fluid dynamics
Emerging trends in machine learning for computational fluid dynamics
Ricardo Vinuesa
Steve Brunton
AI4CE
14
14
0
28 Nov 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field
  Reconstruction
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Dule Shu
Zijie Li
A. Farimani
DiffM
AI4CE
33
121
0
26 Nov 2022
Transform Once: Efficient Operator Learning in Frequency Domain
Transform Once: Efficient Operator Learning in Frequency Domain
Michael Poli
Stefano Massaroli
Federico Berto
J. Park
Tri Dao
Christopher Ré
Stefano Ermon
9
16
0
26 Nov 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Exploring Physical Latent Spaces for High-Resolution Flow Restoration
Chloé Paliard
Nils Thuerey
Kiwon Um
AI4CE
15
0
0
21 Nov 2022
Separable PINN: Mitigating the Curse of Dimensionality in
  Physics-Informed Neural Networks
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
Junwoo Cho
Seungtae Nam
Hyunmo Yang
S. Yun
Youngjoon Hong
Eunbyung Park
PINN
AI4CE
15
8
0
16 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in
  Scientific Computing
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing
Salah A. Faroughi
N. Pawar
C. Fernandes
Maziar Raissi
Subasish Das
N. Kalantari
S. K. Mahjour
PINN
AI4CE
27
47
0
14 Nov 2022
Physics-informed inference of aerial animal movements from weather radar
  data
Physics-informed inference of aerial animal movements from weather radar data
Fiona Lippert
Bart Kranstauber
E. E. V. Loon
Patrick Forré
16
1
0
08 Nov 2022
Simulation-Based Parallel Training
Simulation-Based Parallel Training
Lucas Meyer
Alejandro Ribés
Bruno Raffin
AI4CE
23
2
0
08 Nov 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh
Tian Qin
Alex Beatson
Deniz Oktay
N. McGreivy
Ryan P. Adams
AI4CE
11
10
0
03 Nov 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations
Saurabh Deshpande
Stéphane P. A. Bordas
J. Lengiewicz
AI4CE
GNN
82
28
0
01 Nov 2022
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved
  Wildfire Spread Behavior
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior
J. Burge
M. Bonanni
R. Hu
M. Ihme
AI4CE
16
14
0
28 Oct 2022
Learning Modular Simulations for Homogeneous Systems
Learning Modular Simulations for Homogeneous Systems
Jayesh K. Gupta
Sai H. Vemprala
Ashish Kapoor
9
6
0
28 Oct 2022
Neuro-symbolic partial differential equation solver
Neuro-symbolic partial differential equation solver
Pouria A. Mistani
Samira Pakravan
Rajesh Ilango
S. Choudhry
Frédéric Gibou
26
1
0
25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and
  application to elliptic problems with discontinuities
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities
Pouria A. Mistani
Samira Pakravan
Rajesh Ilango
Frédéric Gibou
16
8
0
25 Oct 2022
Improving aircraft performance using machine learning: a review
Improving aircraft performance using machine learning: a review
S. L. Clainche
E. Ferrer
Sam Gibson
Elisabeth Cross
A. Parente
Ricardo Vinuesa
AI4CE
15
93
0
20 Oct 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid
  Dynamics
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics
L. Prantl
Benjamin Ummenhofer
V. Koltun
Nils Thuerey
AI4CE
PINN
24
29
0
12 Oct 2022
A composable machine-learning approach for steady-state simulations on
  high-resolution grids
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade
C. Hill
Lalit Ghule
Jay Pathak
AI4CE
23
7
0
11 Oct 2022
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