Enhancing Computational Fluid Dynamics with Machine Learning

5 October 2021

Ricardo Vinuesa

Steven L. Brunton

Papers citing "Enhancing Computational Fluid Dynamics with Machine Learning"

30 / 30 papers shown

Title
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning David Ramos Lucas Lacasa E. Valero G. Rubio AI4CE 27 0 0 05 May 2025
EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations Hamidreza Eivazi Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 43 0 0 27 Mar 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 71 4 0 17 Feb 2025
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Benedikt Alkin Tobias Kronlachner Samuele Papa Stefan Pirker Thomas Lichtenegger Johannes Brandstetter PINN AI4CE 52 1 1 14 Nov 2024
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale Sibo Cheng Hector Chassagnon M. Kasoar Yike Guo Rossella Arcucci 32 2 0 30 Aug 2024
The impact of internal variability on benchmarking deep learning climate emulators Björn Lütjens Raffaele Ferrari Duncan Watson-Parris N. Selin AI4Cl 37 1 0 09 Aug 2024
Data-Driven Stochastic Closure Modeling via Conditional Diffusion Model and Neural Operator Xinghao Dong Chuanqi Chen Jin-Long Wu DiffM AI4CE 41 5 0 06 Aug 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 34 42 0 09 Jul 2024
Generative prediction of flow field based on the diffusion model Jiajun Hu Zhen Lu Yue Yang AI4CE 27 2 0 30 Jun 2024
When predict can also explain: few-shot prediction to select better neural latents Kabir Dabholkar Omri Barak BDL 49 0 0 23 May 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
Prediction of flow and elastic stresses in a viscoelastic turbulent channel flow using convolutional neural networks Arivazhagan G. Balasubramanian Ricardo Vinuesa O. Tammisola 24 0 0 22 Apr 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 45 8 0 19 Feb 2024
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations Asif Hamid Danish Rafiq S. A. Nahvi M. A. Bazaz AI4CE 36 1 0 10 Nov 2023
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 22 0 0 29 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-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 34 4 0 28 Sep 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 36 13 0 24 Jun 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 30 52 0 15 May 2023
$β$ -Variational autoencoders and transformers for reduced-order modelling of fluid flows Alberto Solera-Rico Carlos Sanmiguel Vila Miguel Gómez-López Yuning Wang Abdulrahman Almashjary Scott T. M. Dawson Ricardo Vinuesa DRL 13 74 0 07 Apr 2023
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 37 20 0 30 Mar 2023
Invariant preservation in machine learned PDE solvers via error correction N. McGreivy Ammar Hakim AI4CE PINN 23 8 0 28 Mar 2023
The transformative potential of machine learning for experiments in fluid mechanics Ricardo Vinuesa Steven L. Brunton B. McKeon AI4CE 24 68 0 28 Mar 2023
Fluid Dynamics Network: Topology-Agnostic 4D Reconstruction via Fluid Dynamics Priors Daniele Baieri Stefano Esposito Filippo Maggioli Emanuele Rodolà AI4CE 41 3 0 17 Mar 2023
Learning Functional Transduction Mathieu Chalvidal Thomas Serre Rufin VanRullen AI4CE 35 2 0 01 Feb 2023
Emerging trends in machine learning for computational fluid dynamics Ricardo Vinuesa Steve Brunton AI4CE 19 14 0 28 Nov 2022
Classifying text using machine learning models and determining conversation drift Chaitanya Chadha V. Gupta Deepak Gupta Ashish Khanna AILaw 16 2 0 15 Nov 2022
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing Salah A. Faroughi N. Pawar C. Fernandes Maziar Raissi Subasish Das N. Kalantari S. K. Mahjour PINN AI4CE 27 48 0 14 Nov 2022
Classifying Turbulent Environments via Machine Learning M. Buzzicotti F. Bonaccorso 18 0 0 03 Jan 2022
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 205 2,282 0 18 Oct 2020