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 53 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 29 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 57 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 33 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 35 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 17 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 16 104 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 11 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 31 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 18 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 19 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 29 55 0 14 Feb 2022
Aim in Climate Change and City Pollution P. Torres B. Sirmaçek S. Hoyas Ricardo Vinuesa HAI AI4CE 16 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 114 355 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 38 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 33 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 18 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 16 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 19 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 31 167 0 02 Jul 2020