Convolutional-network models to predict wall-bounded turbulence from wall quantities

22 June 2020

R. Vinuesa

Papers citing "Convolutional-network models to predict wall-bounded turbulence from wall quantities"

32 / 32 papers shown

Title
Stochastic Reconstruction of Gappy Lagrangian Turbulent Signals by Conditional Diffusion Models Tianyi Li Luca Biferale F. Bonaccorso M. Buzzicotti Luca Centurioni DiffM 43 3 0 31 Oct 2024
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer Andres Cremades S. Hoyas Ricardo Vinuesa FAtt 26 9 0 18 Sep 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction Sunwoong Yang Ricardo Vinuesa Namwoo Kang AI4CE 49 4 0 06 Jun 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
Prediction of flow and elastic stresses in a viscoelastic turbulent channel flow using convolutional neural networks Arivazhagan G. Balasubramanian Ricardo Vinuesa O. Tammisola 26 0 0 22 Apr 2024
Synthetic Lagrangian Turbulence by Generative Diffusion Models Tianyi Li Luca Biferale F. Bonaccorso M. A. Scarpolini M. Buzzicotti DiffM 31 32 0 17 Jul 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
Discovering Causal Relations and Equations from Data Gustau Camps-Valls Andreas Gerhardus Urmi Ninad Gherardo Varando Georg Martius E. Balaguer-Ballester Ricardo Vinuesa Emiliano Díaz L. Zanna Jakob Runge PINN AI4Cl AI4CE CML 35 72 0 21 May 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 32 68 0 28 Mar 2023
Predicting the wall-shear stress and wall pressure through convolutional neural networks Arivazhagan G. Balasubramanian L. Guastoni P. Schlatter Hossein Azizpour Ricardo Vinuesa 18 5 0 01 Mar 2023
FR3D: Three-dimensional Flow Reconstruction and Force Estimation for Unsteady Flows Around Extruded Bluff Bodies via Conformal Mapping Aided Convolutional Autoencoders Ali Girayhan Ozbay S. Laizet AI4CE 12 2 0 03 Feb 2023
Identifying regions of importance in wall-bounded turbulence through explainable deep learning Andres Cremades S. Hoyas R. Deshpande Pedro Quintero Martin Lellep ... J. Monty Nicholas Hutchins M. Linkmann I. Marusic Ricardo Vinuesa FAtt 23 26 0 02 Feb 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 14 104 0 26 Jan 2023
Generative Adversarial Networks to infer velocity components in rotating turbulent flows Tianyi Li M. Buzzicotti Luca Biferale F. Bonaccorso 14 10 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 6 21 0 21 Oct 2022
Improving aircraft performance using machine learning: a review S. L. Clainche E. Ferrer Sam Gibson Elisabeth Cross A. Parente Ricardo Vinuesa AI4CE 23 93 0 20 Oct 2022
Residual-based physics-informed transfer learning: A hybrid method for accelerating long-term CFD simulations via deep learning J. Jeon Juhyeong Lee Ricardo Vinuesa S. J. Kim AI4CE 8 25 0 14 Jun 2022
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow Adam Subel Yifei Guan A. Chattopadhyay P. Hassanzadeh AI4CE 29 41 0 07 Jun 2022
Physics-informed deep-learning applications to experimental fluid mechanics Hamidreza Eivazi Yuning Wang Ricardo Vinuesa PINN AI4CE 13 44 0 29 Mar 2022
A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto AI4CE 10 12 0 11 Mar 2022
Predicting the temporal dynamics of turbulent channels through deep learning Giuseppe Borrelli L. Guastoni Hamidreza Eivazi P. Schlatter Ricardo Vinuesa AI4TS 14 17 0 02 Mar 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons Bjorn List Li-Wei Chen Nils Thuerey 26 55 0 14 Feb 2022
Aim in Climate Change and City Pollution P. Torres B. Sirmaçek S. Hoyas Ricardo Vinuesa HAI AI4CE 11 0 0 30 Dec 2021
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 25 152 0 09 Oct 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 111 355 0 05 Oct 2021
Assessments of epistemic uncertainty using Gaussian stochastic weight averaging for fluid-flow regression Masaki Morimoto Kai Fukami R. Maulik Ricardo Vinuesa K. Fukagata UQCV 22 30 0 16 Sep 2021
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows Hamidreza Eivazi S. L. C. Martínez S. Hoyas Ricardo Vinuesa 25 92 0 03 Sep 2021
Predicting the near-wall region of turbulence through convolutional neural networks A. Balasubramanian L. Guastoni A. Güemes A. Ianiro S. Discetti P. Schlatter Hossein Azizpour R. Vinuesa 13 6 0 15 Jul 2021
Remote sensing and AI for building climate adaptation applications B. Sirmaçek Ricardo Vinuesa AI4CE 15 33 0 06 Jul 2021
Learning stable reduced-order models for hybrid twins Abel Sancarlos Morgan Cameron Jean-Marc Le Peuvedic J. Groulier J. Duval Elías Cueto Francisco Chinesta 11 13 0 07 Jun 2021
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows J. Jeon Juhyeong Lee S. J. Kim 16 28 0 07 May 2021
Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows Hamidreza Eivazi H. Veisi M. H. Naderi V. Esfahanian AI4CE 23 167 0 02 Jul 2020