Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2306.01776
Cited By
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
29 May 2023
Marten Lienen
David Lüdke
Jan Hansen-Palmus
Stephan Günnemann
DiffM
AI4CE
Re-assign community
ArXiv
PDF
HTML
Papers citing
"From Zero to Turbulence: Generative Modeling for 3D Flow Simulation"
10 / 10 papers shown
Title
Learning to generate physical ocean states: Towards hybrid climate modeling
Etienne Meunier
David Kamm
Guillaume Gachon
Redouane Lguensat
Julie Deshayes
AI4Cl
AI4CE
66
0
0
04 Feb 2025
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting
Marcel Kollovieh
Marten Lienen
David Lüdke
Leo Schwinn
Stephan Günnemann
AI4TS
BDL
DiffM
45
6
0
03 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation
Anthony Y. Zhou
Zijie Li
Michael Schneier
John R Buchanan Jr
Amir Barati Farimani
AI4CE
DiffM
67
5
0
02 Oct 2024
Generating Physical Dynamics under Priors
Zihan Zhou
Xiaoxue Wang
Tianshu Yu
DiffM
AI4CE
72
0
0
01 Sep 2024
Physics-Informed Diffusion Models
Jan-Hendrik Bastek
WaiChing Sun
D. Kochmann
DiffM
AI4CE
47
11
0
21 Mar 2024
Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers
Steeven Janny
Aurélien Béneteau
Madiha Nadri Wolf
Julie Digne
Nicolas Thome
Christian Wolf
AI4CE
79
32
0
16 Feb 2023
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
61
119
0
30 Sep 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie
Naoto Mitsume
PINN
AI4CE
29
24
0
24 May 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Andreas Lugmayr
Martin Danelljan
Andrés Romero
Feng Yu
Radu Timofte
Luc Van Gool
DiffM
233
1,355
0
24 Jan 2022
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
247
2,298
0
18 Oct 2020
1