Physics-informed neural networks (PINNs) for fluid mechanics: A review

20 May 2021

Papers citing "Physics-informed neural networks (PINNs) for fluid mechanics: A review"

50 / 96 papers shown

Title
PC-SRGAN: Physically Consistent Super-Resolution Generative Adversarial Network for General Transient Simulations Md Rakibul Hasan Pouria Behnoudfar Dan MacKinlay Thomas Poulet GAN 34 0 0 10 May 2025
Is the end of Insight in Sight ? J. Tucny M. Durve S. Succi 54 0 0 07 May 2025
Bridging Model Predictive Control and Deep Learning for Scalable Reachability Analysis Zeyuan Feng Le Qiu Somil Bansal 30 0 0 04 May 2025
Monotone Peridynamic Neural Operator for Nonlinear Material Modeling with Conditionally Unique Solutions Jihong Wang Xiaochuan Tian Zhongqiang Zhang Stewart Silling S. Jafarzadeh Yue Yu 41 0 0 02 May 2025
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation Xuyang Guo Jiayan Huo Zhenmei Shi Zhao-quan Song Jiahao Zhang Jiale Zhao EGVM VGen PINN 82 1 0 01 May 2025
Optimizing Hard Thresholding for Sparse Model Discovery Derek W. Jollie Scott G. McCalla 41 0 0 28 Apr 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs Afrah Farea Saiful Khan Mustafa Serdar Celebi PINN 64 0 0 20 Mar 2025
Learning and discovering multiple solutions using physics-informed neural networks with random initialization and deep ensemble Zongren Zou Zhicheng Wang George Karniadakis PINN AI4CE 70 2 0 08 Mar 2025
Towards a Foundation Model for Physics-Informed Neural Networks: Multi-PDE Learning with Active Sampling Keon Vin Park PINN AI4CE 66 0 0 11 Feb 2025
ELM-DeepONets: Backpropagation-Free Training of Deep Operator Networks via Extreme Learning Machines Hwijae Son 51 0 0 17 Jan 2025
A physics-informed transformer neural operator for learning generalized solutions of initial boundary value problems Sumanth Kumar Boya Deepak Subramani AI4CE 94 0 0 12 Dec 2024
Multi-Parameter Molecular MRI Quantification using Physics-Informed Self-Supervised Learning Alex Finkelstein Nikita Vladimirov Moritz Zaiss O. Perlman 33 1 0 10 Nov 2024
Metamizer: a versatile neural optimizer for fast and accurate physics simulations Nils Wandel Stefan Schulz Reinhard Klein PINN AI4CE 51 0 0 10 Oct 2024
Fourier PINNs: From Strong Boundary Conditions to Adaptive Fourier Bases Madison Cooley Varun Shankar Robert M. Kirby Shandian Zhe 24 2 0 04 Oct 2024
SetPINNs: Set-based Physics-informed Neural Networks M. Nagda Phil Ostheimer Thomas Specht Frank Rhein F. Jirasek Stephan Mandt Marius Kloft Sophie Fellenz 3DPC PINN 46 0 0 30 Sep 2024
Scientific Machine Learning Seismology Tomohisa Okazaki PINN AI4CE 48 0 0 27 Sep 2024
$Neural refractive index field: Unlocking the Potential of Background-oriented Schlieren Tomography in Volumetric Flow Visualization$ Neural refractive index field: Unlocking the Potential of Background-oriented Schlieren Tomography in Volumetric Flow Visualization Yuanzhe He Y. Zheng Shijie Xu Chang Liu Di Peng Yingzheng Liu Weiwei Cai AI4CE 26 0 0 23 Sep 2024
An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations T. Anandh Divij Ghose Ankit Tyagi Abhineet Gupta Suranjan Sarkar Sashikumaar Ganesan 33 0 0 06 Sep 2024
Generating Physical Dynamics under Priors Zihan Zhou Xiaoxue Wang Tianshu Yu DiffM AI4CE 69 0 0 01 Sep 2024
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT) Xu Yang Yangming Zhang Haofeng Chen Gang Ma Xiaojie Wang 24 0 0 25 Jul 2024
Physics-Informed Weakly Supervised Learning for Interatomic Potentials Makoto Takamoto Viktor Zaverkin Mathias Niepert AI4CE 60 0 0 23 Jul 2024
Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems A. Thiruthummal Sergiy Shelyag Eun-Jin Kim 28 2 0 07 Jun 2024
Flexible SE(2) graph neural networks with applications to PDE surrogates Maria Bånkestad Olof Mogren Aleksis Pirinen 59 1 0 30 May 2024
Regression Trees Know Calculus Nathan Wycoff 31 0 0 22 May 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu Fenghua Ling Wenlong Zhang Tao Han Hao Chen Wanli Ouyang Lei Bai AI4CE 34 5 0 22 May 2024
Stochastic Inference of Plate Bending from Heterogeneous Data: Physics-informed Gaussian Processes via Kirchhoff-Love Theory I. Kavrakov Gledson Rodrigo Tondo Guido Morgenthal AI4CE 49 1 0 21 May 2024
Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks R. Mattey Susanta Ghosh AI4CE 43 1 0 09 May 2024
Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be? Jorge F. Urbán P. Stefanou José A. Pons PINN 45 6 0 07 May 2024
Discretization Error of Fourier Neural Operators S. Lanthaler Andrew M. Stuart Margaret Trautner 42 4 0 03 May 2024
Towards General Neural Surrogate Solvers with Specialized Neural Accelerators Chenkai Mao Robert Lupoiu Tianxiang Dai Mingkun Chen Jonathan A. Fan AI4CE 38 5 0 02 May 2024
Learning solution operators of PDEs defined on varying domains via MIONet Shanshan Xiao Pengzhan Jin Yifa Tang 47 3 0 23 Feb 2024
Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems Biao Yuan Ana Heitor He Wang Xiaohui Chen AI4CE PINN 34 1 0 08 Jan 2024
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning Abdul Hannan Mustajab Hao Lyu Z. Rizvi Frank Wuttke AI4CE PINN 20 9 0 05 Jan 2024
Accelerating Neural Field Training via Soft Mining Shakiba Kheradmand Daniel Rebain Gopal Sharma Hossam N. Isack Abhishek Kar Andrea Tagliasacchi Kwang Moo Yi 45 4 0 29 Nov 2023
Computationally Efficient and Error Aware Surrogate Construction for Numerical Solutions of Subsurface Flow Through Porous Media Aleksei G. Sorokin Aleksandra Pachalieva Daniel O’Malley James M. Hyman F. J. Hickernell N. W. Hengartner 19 1 0 20 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 20 10 0 08 Oct 2023
Physics-informed neural networks for blood flow inverse problems Jeremías Garay J. Dunstan S. Uribe F. Sahli Costabal PINN 31 3 0 02 Aug 2023
Investigation of Compressor Cascade Flow Using Physics- Informed Neural Networks with Adaptive Learning Strategy Zhihui Li Francesco Montomoli Sanjiv Sharma PINN 22 6 0 15 Jul 2023
Auxiliary-Tasks Learning for Physics-Informed Neural Network-Based Partial Differential Equations Solving Junjun Yan Xinhai Chen Zhichao Wang Enqiang Zhou Jie Liu PINN AI4CE 29 1 0 12 Jul 2023
Temporal Difference Learning for High-Dimensional PIDEs with Jumps Liwei Lu Hailong Guo Xueqing Yang Yi Zhu AI4CE 23 6 0 06 Jul 2023
Residual-based attention and connection to information bottleneck theory in PINNs Sokratis J. Anagnostopoulos Juan Diego Toscano Nikos Stergiopulos George Karniadakis 19 20 0 01 Jul 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 34 29 0 29 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 30 75 0 07 May 2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems Subhayan De P. Brewick 31 0 0 25 Apr 2023
A physics-informed neural network framework for modeling obstacle-related equations Hamid EL Bahja J. C. Hauffen P. Jung B. Bah Issa Karambal PINN AI4CE 29 3 0 07 Apr 2023
Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models Anant Raj Umut Simsekli Alessandro Rudi DiffM 31 1 0 30 Mar 2023
Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning Hector Vargas Alvarez Gianluca Fabiani Nikolaos K. Kazantzis Constantinos Siettos Ioannis G. Kevrekidis 21 6 0 15 Mar 2023
NSGA-PINN: A Multi-Objective Optimization Method for Physics-Informed Neural Network Training B.-L. Lu Christian Moya Guang Lin PINN 37 11 0 03 Mar 2023
Physics informed WNO N. N. Tapas Tripura S. Chakraborty 27 28 0 12 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 34 2 0 06 Feb 2023