A Denoising Diffusion Model for Fluid Field Prediction

A Denoising Diffusion Model for Fluid Field Prediction

27 January 2023

Papers citing "A Denoising Diffusion Model for Fluid Field Prediction"

19 / 19 papers shown

Title
On conditional diffusion models for PDE simulations Aliaksandra Shysheya Cristiana-Diana Diaconu Federico Bergamin P. Perdikaris José Miguel Hernández-Lobato Richard E. Turner Emile Mathieu DiffM 31 5 0 21 Oct 2024
Continuous Ensemble Weather Forecasting with Diffusion models Martin Andrae Tomas Landelius Joel Oskarsson Fredrik Lindsten AI4Cl 35 2 0 07 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
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
DiffusionPDE: Generative PDE-Solving Under Partial Observation Jiahe Huang Guandao Yang Zichen Wang Jeong Joon Park DiffM 63 15 0 25 Jun 2024
Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates Y. Poels Koen Minartz Harshit Bansal Vlado Menkovski AI4CE 40 1 0 27 May 2024
Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale Pol Timmer Koen Minartz Vlado Menkovski AI4CE 43 0 0 26 May 2024
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems Katsiaryna Haitsiukevich O. Poyraz Pekka Marttinen Alexander Ilin DiffM 56 2 0 11 May 2024
CoCoGen: Physically-Consistent and Conditioned Score-based Generative Models for Forward and Inverse Problems Christian L. Jacobsen Yilin Zhuang Karthik Duraisamy AI4CE SyDa DiffM 26 17 0 16 Dec 2023
Turbulence Scaling from Deep Learning Diffusion Generative Models Tim Whittaker R. Janik Yaron Oz DiffM 24 5 0 10 Nov 2023
The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence Noam Levi Yaron Oz AI4CE 32 1 0 02 Nov 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 42 22 0 04 Sep 2023
Hyena Neural Operator for Partial Differential Equations Saurabh Patil Zijie Li Amir Barati Farimani AI4CE 27 4 0 28 Jun 2023
Diffusion model based data generation for partial differential equations Rucha Apte Sheel Nidhan Rishikesh Ranade Jay Pathak DiffM 52 6 0 19 Jun 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen David Lüdke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 24 24 0 29 May 2023
Neural Network Complexity of Chaos and Turbulence Tim Whittaker R. Janik Yaron Oz 27 4 0 24 Nov 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,593 0 10 Nov 2021
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 238 2,298 0 18 Oct 2020