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Towards Physics-informed Deep Learning for Turbulent Flow Prediction

20 November 2019

Papers citing "Towards Physics-informed Deep Learning for Turbulent Flow Prediction"

50 / 96 papers shown

Title
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Alexander Khrabry Edward Startsev Andrew Powis Igor Kaganovich AI4CE 84 0 0 24 May 2025
LaPON: A Lagrange's-mean-value-theorem-inspired operator network for solving PDEs and its application on NSE Siwen Zhang Xizeng Zhao Zhengzhi Deng Zhaoyuan Huang Gang Tao Nuo Xu Zhouteng Ye 68 0 0 18 May 2025
Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems Siavash Khodakarami Vivek Oommen Aniruddha Bora George Karniadakis AI4CE 110 5 0 17 Mar 2025
Understanding Generalization in Physics Informed Models through Affine Variety Dimensions Takeshi Koshizuka Issei Sato AI4CE 179 0 0 31 Jan 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation Qi Wang Yuan Mi Haoran Wang Yi Zhang Ruizhi Chengze Hongsheng Liu J. Wen Hao Sun AI4CE 95 1 0 28 Jan 2025
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme S. Shahane Sheide Chammas Deniz A. Bezgin Aaron B. Buhendwa Steffen J. Schmidt ... Spencer H. Bryngelson Yi-Fan Chen Qing Wang Fei Sha Leonardo Zepeda-Núñez 70 2 0 13 Sep 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 80 5 0 27 Feb 2024
The Principle of Minimum Pressure Gradient: An Alternative Basis for Physics-Informed Learning of Incompressible Fluid Mechanics H. Alhussein M. Daqaq PINN 25 6 0 15 Jan 2024
Physics-Informed Data Denoising for Real-Life Sensing Systems Xiyuan Zhang Xiaohan Fu Diyan Teng Chengyu Dong Keerthivasan Vijayakumar ... Junsheng Han Dezhi Hong Rashmi Kulkarni Jingbo Shang Rajesh K. Gupta AI4CE PINN 41 4 0 12 Nov 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin AI4CE 42 6 0 28 Sep 2023
Training neural mapping schemes for satellite altimetry with simulation data Q. Febvre Julien Le Sommer C. Ubelmann Ronan Fablet 44 9 0 19 Sep 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 107 15 0 24 Jun 2023
Neural Multigrid Memory For Computational Fluid Dynamics Duc Minh Nguyen Minh Nhat Vu T. Nguyen T. Huynh Nguyen Tri Nguyen Truong-Son Hy AI4CE 92 1 0 21 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 223 69 0 03 Jun 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núñez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 85 11 0 01 Jun 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 115 84 0 27 May 2023
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences E. Celledoni James Jackaman Davide Murari B. Owren 101 2 0 01 May 2023
On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods Artur Toshev Ludger Paehler A. Panizza Nikolaus A. Adams AI4CE PINN 71 5 0 31 Mar 2023
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 101 21 0 30 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning S Chandra Mouli M. A. Alam Bruno Ribeiro OOD 60 4 0 06 Mar 2023
A Neural PDE Solver with Temporal Stencil Modeling Zhiqing Sun Yiming Yang Shinjae Yoo DiffM AI4CE 96 17 0 16 Feb 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems Z. Y. Wan Leonardo Zepeda-Núñez Anudhyan Boral Fei Sha BDL AI4CE 86 13 0 25 Jan 2023
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 78 35 0 24 Jan 2023
AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier-Stokes Solutions F. Bonnet Jocelyn Ahmed Mazari Paola Cinnella Patrick Gallinari AI4CE 97 60 0 15 Dec 2022
Guiding continuous operator learning through Physics-based boundary constraints Nadim Saad Gaurav Gupta S. Alizadeh Danielle C. Maddix AI4CE 122 22 0 14 Dec 2022
Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations Yemo Li Yiwen Pang Bin Shan AI4CE 73 5 0 08 Dec 2022
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems Derick Nganyu Tanyu Jianfeng Ning Tom Freudenberg Nick Heilenkötter A. Rademacher U. Iben Peter Maass AI4CE 92 35 0 06 Dec 2022
Physics-Constrained Generative Adversarial Networks for 3D Turbulence D. Tretiak A. Mohan Daniel Livescu GAN AI4CE PINN 70 2 0 01 Dec 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction Dule Shu Zijie Li A. Farimani DiffM AI4CE 94 148 0 26 Nov 2022
Accelerated Solutions of Coupled Phase-Field Problems using Generative Adversarial Networks Vir Karan A. M. Indresh S. Bhattacharyya AI4CE 27 0 0 22 Nov 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 92 0 0 21 Nov 2022
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 71 52 0 14 Nov 2022
Deep Learning based Computer Vision Methods for Complex Traffic Environments Perception: A Review Talha Azfar Jinlong Li Hongkai Yu R. Cheu Yisheng Lv Ruimin Ke 60 22 0 09 Nov 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao Sun Yang Liu 122 44 0 25 Oct 2022
PDEBENCH: An Extensive Benchmark for Scientific Machine Learning M. Takamoto T. Praditia Raphael Leiteritz Dan MacKinlay Francesco Alesiani Dirk Pflüger Mathias Niepert AI4CE 114 237 0 13 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek Abdelzaher PINN AI4CE 101 1 0 27 Sep 2022
Differentiable physics-enabled closure modeling for Burgers' turbulence Varun Shankar V. Puri R. Balakrishnan R. Maulik V. Viswanathan AI4CE 43 16 0 23 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 122 90 0 08 Sep 2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations Shihong Zhang Chi Zhang Bo Wang AI4CE 41 3 0 06 Sep 2022
Learning Differential Operators for Interpretable Time Series Modeling Yingtao Luo Chang Xu Yang Liu Weiqing Liu Shun Zheng Jiang Bian AI4TS 98 8 0 03 Sep 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji Jingyuan Wang Zhe Jiang Jiawei Jiang Hu Zhang DiffM PINN OOD AI4CE 88 81 0 01 Sep 2022
Physics-informed Deep Super-resolution for Spatiotemporal Data Pu Ren Chengping Rao Yang Liu Zihan Ma Qi Wang Jianxin Wang Hao Sun 114 13 0 02 Aug 2022
Learning to correct spectral methods for simulating turbulent flows Gideon Dresdner Dmitrii Kochkov Peter C. Norgaard Leonardo Zepeda-Núñez Jamie A. Smith M. Brenner Stephan Hoyer AI4CE 85 62 0 01 Jul 2022
Short-range forecasts of global precipitation using deep learning-augmented numerical weather prediction Manmeet Singh SB Vaisakh N. Acharya Aditya Grover Suryachandra A. Rao B. Kumar Zong‐Liang Yang D. Niyogi AI4Cl 26 6 0 23 Jun 2022
Deep learning-enhanced ensemble-based data assimilation for high-dimensional nonlinear dynamical systems Ashesh Chattopadhyay Ebrahim Nabizadeh Eviatar Bach Pedram Hassanzadeh AI4CE 80 21 0 09 Jun 2022
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 117 172 0 26 May 2022
Demystifying the Data Need of ML-surrogates for CFD Simulations Tongtao Zhang Biswadip Dey Krishna Veeraraghavan Harshad Kulkarni Amit Chakraborty AI4CE 37 5 0 05 May 2022
Learning Individual Interactions from Population Dynamics with Discrete-Event Simulation Model Yan Shen Fan Yang Ming-Xin Gao Wen Dong 98 0 0 04 May 2022
Super Resolution for Turbulent Flows in 2D: Stabilized Physics Informed Neural Networks Mykhaylo Zayats Malgorzata J. Zimoñ K. Yeo Sergiy Zhuk 70 5 0 15 Apr 2022
Dimensionless machine learning: Imposing exact units equivariance Soledad Villar Weichi Yao D. Hogg Ben Blum-Smith Bianca Dumitrascu 48 27 0 02 Apr 2022