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Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates

Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates

27 May 2024
Y. Poels
Koen Minartz
Harshit Bansal
Vlado Menkovski
    AI4CE
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Papers citing "Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates"

13 / 13 papers shown
Title
Bridging scales in multiscale bubble growth dynamics with correlated
  fluctuations using neural operator learning
Bridging scales in multiscale bubble growth dynamics with correlated fluctuations using neural operator learning
Minglei Lu
Chensen Lin
Martian Maxey
George Karniadakis
Zhen Li
AI4CE
78
2
0
20 Mar 2024
Plasma Surrogate Modelling using Fourier Neural Operators
Plasma Surrogate Modelling using Fourier Neural Operators
Vignesh Gopakumar
Stanislas Pamela
L. Zanisi
Zong-Yi Li
Ander Gray
...
Matt Kusner
M. Deisenroth
A. Anandkumar
Jorek Team
Mast Team
AI4CE
67
17
0
10 Nov 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers
Phillip Lippe
Bastiaan S. Veeling
P. Perdikaris
Richard Turner
Johannes Brandstetter
DiffM
AI4CE
75
93
0
10 Aug 2023
Operator Learning with Neural Fields: Tackling PDEs on General
  Geometries
Operator Learning with Neural Fields: Tackling PDEs on General Geometries
Louis Serrano
Lise Le Boudec
Armand K. Koupai
Thomas X. Wang
Yuan Yin
Jean-Noel Vittaut
Patrick Gallinari
AI4CE
59
36
0
12 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal
  Forecasting
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Salva Rühling Cachay
Bo Zhao
Hailey James
Rose Yu
DiffM
AI4TS
134
64
0
03 Jun 2023
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE
  Surrogates
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates
Y. Poels
G. Derks
E. Westerhof
Koen Minartz
Sven Wiesen
Vlado Menkovski
3DGS
AI4CE
44
17
0
30 May 2023
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Koen Minartz
Y. Poels
Simon Koop
Vlado Menkovski
54
6
0
23 May 2023
A Denoising Diffusion Model for Fluid Field Prediction
A Denoising Diffusion Model for Fluid Field Prediction
Gefan Yang
Stefan Sommer
DiffM
AI4CE
60
28
0
27 Jan 2023
Transformer for Partial Differential Equations' Operator Learning
Transformer for Partial Differential Equations' Operator Learning
Zijie Li
Kazem Meidani
A. Farimani
85
159
0
26 May 2022
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed
  deep learning
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning
Hanfeng Zhai
Quan Zhou
G. Hu
PINN
AI4CE
39
16
0
15 May 2021
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
451
2,384
0
18 Oct 2020
Learning to Simulate Complex Physics with Graph Networks
Learning to Simulate Complex Physics with Graph Networks
Alvaro Sanchez-Gonzalez
Jonathan Godwin
Tobias Pfaff
Rex Ying
J. Leskovec
Peter W. Battaglia
PINN
AI4CE
129
1,080
0
21 Feb 2020
DeepONet: Learning nonlinear operators for identifying differential
  equations based on the universal approximation theorem of operators
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
193
2,108
0
08 Oct 2019
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