Turbulence Enrichment using Physics-informed Generative Adversarial
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Turbulence Enrichment using Physics-informed Generative Adversarial Networks

4 March 2020

Akshay Subramaniam

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Papers citing "Turbulence Enrichment using Physics-informed Generative Adversarial Networks"

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Title
Comparison of Generative Learning Methods for Turbulence Modeling Claudia Drygala Edmund Ross F. Mare Hanno Gottschalk AI4CE 148 3 0 25 Nov 2024
Reconstructing unsteady flows from sparse, noisy measurements with a physics-constrained convolutional neural network Yaxin Mo Luca Magri AI4CE 67 0 0 30 Aug 2024
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
Generative Adversarial Networks to infer velocity components in rotating turbulent flows Tianyi Li M. Buzzicotti Luca Biferale F. Bonaccorso 35 11 0 18 Jan 2023
Multi-scale data reconstruction of turbulent rotating flows with Gappy POD, Extended POD and Generative Adversarial Networks Tianyi Li M. Buzzicotti Luca Biferale F. Bonaccorso Shiyi Chen M. Wan AI4CE 35 21 0 21 Oct 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
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 83 10 0 30 Jun 2022
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity Rajat Arora AI4CE 108 7 0 16 Dec 2021
Generative Modeling of Turbulence Claudia Drygala Benjamin Winhart F. Mare Hanno Gottschalk GAN AI4CE 94 39 0 05 Dec 2021
Adversarial sampling of unknown and high-dimensional conditional distributions M. Hassanaly Andrew Glaws Karen Stengel Ryan N. King GAN 73 21 0 08 Nov 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network Ekhi Ajuria Illarramendi M. Bauerheim B. Cuenot 89 21 0 20 Sep 2021
Learning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer B. Keith U. Khristenko B. Wohlmuth 55 7 0 23 Jul 2021
Point-Cloud Deep Learning of Porous Media for Permeability Prediction Ali Kashefi T. Mukerji 3DPC AI4CE 63 35 0 18 Jul 2021
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 75 44 0 08 Jun 2020
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems Zeng Yang Jin-Long Wu Heng Xiao AI4CE 79 17 0 15 Nov 2019