A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction

26 November 2022

Papers citing "A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction"

50 / 55 papers shown

Title
Dynamics-aware Diffusion Models for Planning and Control D. Gadginmath Fabio Pasqualetti 62 3 0 31 Mar 2025
Generative Latent Neural PDE Solver using Flow Matching Zijie Li Anthony Y. Zhou Amir Barati Farimani DiffM AI4CE 65 0 0 28 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Tobias Pfaff Nils Thuerey DiffM AI4CE 31 3 0 19 Mar 2025
Consistency Training with Physical Constraints Che-Chia Chang Chen-Yang Dai Te-Sheng Lin M. Lai Chieh-Hsin Lai DiffM 45 0 0 11 Feb 2025
How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation Haodong Feng Yue Wang Dixia Fan AI4CE 75 0 0 12 Dec 2024
Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations Michiel Nikken N. Botteghi Wesley Roozing Federico Califano DiffM 30 0 0 28 Oct 2024
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 23 4 0 21 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems Rayhan Zirvi Bahareh Tolooshams Anima Anandkumar DiffM 28 2 0 04 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 52 5 0 02 Oct 2024
Physics-aligned Schrödinger bridge Zeyu Li Hongkun Dou Shen Fang Wang Han Yue Deng Lijun Yang AI4CE DiffM 28 0 0 26 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 96 0 0 12 Sep 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 50 0 0 01 Sep 2024
Super-Resolution works for coastal simulations Zhi-Song Liu Markus Buttner V. Aizinger Andreas Rupp SupR 28 0 0 29 Aug 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
Generative Learning of the Solution of Parametric Partial Differential Equations Using Guided Diffusion Models and Virtual Observations Han Gao Sebastian Kaltenbach P. Koumoutsakos DiffM AI4CE 21 4 0 31 Jul 2024
Multi-physics Simulation Guided Generative Diffusion Models with Applications in Fluid and Heat Dynamics Naichen Shi Hao Yan Shenghan Guo Raed Al Kontar DiffM AI4CE 24 0 0 25 Jul 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception Phillip Mueller Lars Mikelsons AI4CE 30 1 0 15 Jul 2024
DiffusionPDE: Generative PDE-Solving Under Partial Observation Jiahe Huang Guandao Yang Zichen Wang Jeong Joon Park DiffM 54 14 0 25 Jun 2024
Conditional score-based diffusion models for solving inverse problems in mechanics Agnimitra Dasgupta Harisankar Ramaswamy Javier Murgoitio-Esandi Ken Foo Runze Li Qifa Zhou Brendan Kennedy Assad A. Oberai DiffM MedIm 32 2 0 19 Jun 2024
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics Jing Qiu Jiancheng Huang Xiangdong Zhang Zeng Lin Minglei Pan Zengding Liu F. Miao AI4CE 30 3 0 06 Jun 2024
Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN Mikołaj Kita Jan Dubiñski Przemysław Rokita Kamil Deja DiffM AI4CE 27 2 0 05 Jun 2024
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Shuhao Cao Francesco Brarda Ruipeng Li Yuanzhe Xi 31 0 0 27 May 2024
Diffusion models as probabilistic neural operators for recovering unobserved states of dynamical systems Katsiaryna Haitsiukevich O. Poyraz Pekka Marttinen Alexander Ilin DiffM 51 2 0 11 May 2024
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric space Rasoul Najafi Koopas Shahed Rezaei N. Rauter Richard Ostwald R. Lammering AI4CE 27 4 0 03 May 2024
PiRD: Physics-informed Residual Diffusion for Flow Field Reconstruction Siming Shan Pengkai Wang Song Chen Jiaxu Liu Chao Xu Shengze Cai AI4CE DiffM 22 2 0 12 Apr 2024
Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction Wei-ping Xu Derek Freeman DeSantis Xihaier Luo Avish Parmar Klaus Tan B. Nadiga Yihui Ren Shinjae Yoo BDL AI4CE 31 1 0 09 Apr 2024
Physics-Informed Diffusion Models Jan-Hendrik Bastek WaiChing Sun D. Kochmann DiffM AI4CE 47 10 0 21 Mar 2024
Inpainting Computational Fluid Dynamics with Deep Learning Dule Shu Wilson Zhen Zijie Li A. Farimani AI4CE 18 0 0 27 Feb 2024
Generative Learning for Forecasting the Dynamics of Complex Systems Han Gao Sebastian Kaltenbach P. Koumoutsakos AI4TS AI4CE 21 6 0 27 Feb 2024
PICL: Physics Informed Contrastive Learning for Partial Differential Equations Cooper Lorsung A. Farimani AI4CE 28 4 0 29 Jan 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 15 16 0 16 Dec 2023
$ρ$ -Diffusion: A diffusion-based density estimation framework for computational physics Maxwell X. Cai Kin Long Kelvin Lee DiffM 12 1 0 13 Dec 2023
Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models Qiang Liu Nils Thuerey DiffM AI4CE 8 8 0 08 Dec 2023
Inexpensive High Fidelity Melt Pool Models in Additive Manufacturing Using Generative Deep Diffusion Francis Ogoke Quanliang Liu Olabode T. Ajenifujah Alexander J. Myers Guadalupe Quirarte Jack L. Beuth Jonathan A. Malen A. Farimani AI4CE 65 11 0 15 Nov 2023
Bayesian Conditional Diffusion Models for Versatile Spatiotemporal Turbulence Generation Han Gao Xu Han Xiantao Fan Luning Sun Liping Liu Lian Duan Jian-Xun Wang DiffM AI4CE 30 20 0 14 Nov 2023
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks Amanda A. Howard Sarah H. Murphy Shady E. Ahmed P. Stinis AI4CE 50 18 0 11 Nov 2023
Turbulence Scaling from Deep Learning Diffusion Generative Models Tim Whittaker R. Janik Yaron Oz DiffM 14 5 0 10 Nov 2023
An Operator Learning Framework for Spatiotemporal Super-resolution of Scientific Simulations Valentin Duruisseaux Amit Chakraborty AI4CE 11 1 0 04 Nov 2023
The Universal Statistical Structure and Scaling Laws of Chaos and Turbulence Noam Levi Yaron Oz AI4CE 16 1 0 02 Nov 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 26 22 0 04 Sep 2023
Fluid Viscosity Prediction Leveraging Computer Vision and Robot Interaction Jong Hoon Park G. Dalwankar Alison Bartsch Abraham George A. Farimani 21 1 0 04 Aug 2023
Real-time Inference and Extrapolation via a Diffusion-inspired Temporal Transformer Operator (DiTTO) O. Ovadia Vivek Oommen Adar Kahana Ahmad Peyvan Eli Turkel George Karniadakis AI4CE 26 13 0 18 Jul 2023
Synthetic Lagrangian Turbulence by Generative Diffusion Models Tianyi Li Luca Biferale F. Bonaccorso M. A. Scarpolini M. Buzzicotti DiffM 18 32 0 17 Jul 2023
Hyena Neural Operator for Partial Differential Equations Saurabh Patil Zijie Li Amir Barati Farimani AI4CE 17 4 0 28 Jun 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 34 13 0 24 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 Ludke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 9 23 0 29 May 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 30 27 0 29 May 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 11 63 0 27 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núnez DiffM 26 22 0 24 May 2023