Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows

26 January 2023

Papers citing "Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows"

20 / 20 papers shown

Title
Understanding the role of autoencoders for stiff dynamical systems using information theory Vijayamanikandan Vijayarangan Harshavardhana A. Uranakara Francisco E. Hernández-Pérez Hong G. Im SyDa AI4CE 49 1 0 08 Mar 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 114 0 0 13 Feb 2025
Upstream flow geometries can be uniquely learnt from single-point turbulence signatures Mukesh Karunanethy R. Rengaswamy M. Panchagnula 70 0 0 14 Dec 2024
Physics-aligned Schrödinger bridge Zeyu Li Hongkun Dou Shen Fang Wang Han Yue Deng Lijun Yang AI4CE DiffM 30 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 104 0 0 12 Sep 2024
Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network Yaxin Mo Luca Magri AI4CE 30 0 0 30 Aug 2024
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework Jesus Gonzalez-Sieiro David Pardo Vincenzo Nava V. M. Calo Markus Towara AI4CE 32 1 0 13 May 2024
Thermodynamics-informed super-resolution of scarce temporal dynamics data Carlos Bermejo-Barbanoj B. Moya Alberto Badías Francisco Chinesta Elías Cueto AI4CE 31 2 0 27 Feb 2024
Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method Zili Liu Hao Chen Lei Bai Wenyuan Li Keyan Chen Zhengyi Wang Wanli Ouyang Zhengxia Zou Z. Shi 49 4 0 22 Jan 2024
WindSeer: Real-time volumetric wind prediction over complex terrain aboard a small UAV Florian Achermann Thomas Stastny Bogdan Danciu Andrey Kolobov Jen Jen Chung Roland Siegwart Nicholas R. J. Lawrance 25 2 0 18 Jan 2024
Enhancing wind field resolution in complex terrain through a knowledge-driven machine learning approach Jacob Wulff Wold Florian Stadtmann Adil Rasheed Mandar V. Tabib Omer San Jan-Tore Horn 14 2 0 18 Sep 2023
Interpreting and generalizing deep learning in physics-based problems with functional linear models Amirhossein Arzani Lingxiao Yuan P. Newell Bei Wang AI4CE 31 7 0 10 Jul 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 44 13 0 24 Jun 2023
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil Rahul Sundar Dipanjan Majumdar Didier Lucor Sunetra Sarkar PINN AI4CE 25 6 0 23 Jun 2023
Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models A. Rybchuk M. Hassanaly N. Hamilton P. Doubrawa Mitchell J. Fulton L. Martínez‐Tossas AI4CE DiffM 30 16 0 01 Mar 2023
A Comparison of Neural Network Architectures for Data-Driven Reduced-Order Modeling A. Gruber M. Gunzburger L. Ju Zhu Wang GNN 35 62 0 05 Oct 2021
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 43 97 0 12 Jul 2021
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning Kai Fukami R. Maulik Nesar Ramachandra K. Fukagata Kunihiko Taira 47 143 0 03 Jan 2021
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 187 141 0 01 May 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,103 0 02 Dec 2016