Machine Learning for Fluid Mechanics

27 May 2019

Steven Brunton

Papers citing "Machine Learning for Fluid Mechanics"

50 / 112 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
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 52 0 0 24 Apr 2025
Physics-Informed Neural Networks for Enhanced Interface Preservation in Lattice Boltzmann Multiphase Simulations Yue Li L. Zhang AI4CE 34 1 0 13 Apr 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
Shape-informed surrogate models based on signed distance function domain encoding L. Zhang S. Pagani Jun Zhang Francesco Regazzoni AI4CE 42 1 0 19 Sep 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 49 1 0 24 Apr 2024
Variational Sampling of Temporal Trajectories Jurijs Nazarovs Zhichun Huang Xingjian Zhen Sourav Pal Rudrasis Chakraborty Vikas Singh 24 0 0 18 Mar 2024
Response Theory via Generative Score Modeling L. T. Giorgini Katherine Deck Tobias Bischoff Andre N. Souza 38 9 0 01 Feb 2024
Enhancing Data-Assimilation in CFD using Graph Neural Networks M. Quattromini M. Bucci Stefania Cherubini Onofrio Semeraro AI4CE 18 0 0 29 Nov 2023
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements Esther Lagemann Steven L. Brunton Christian Lagemann 27 4 0 17 Oct 2023
Learning to Predict Structural Vibrations J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 26 1 0 09 Oct 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 40 4 0 28 Sep 2023
Learning locally dominant force balances in active particle systems D. Sturm S. Maddu I. Sbalzarini 15 1 0 27 Jul 2023
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics Rahul Sharma Y.B. Guo M. Raissi W. Guo PINN AI4CE 42 5 0 23 Jul 2023
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty A. Agrawal P. Koutsourelakis AI4CE 24 15 0 05 Jul 2023
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD R. Balin F. Simini Cooper Simpson Andrew Shao Alessandro Rigazzi M. Ellis Stephen Becker Alireza Doostan John A. Evans K. Jansen AI4CE 29 3 0 22 Jun 2023
Discovering Individual Rewards in Collective Behavior through Inverse Multi-Agent Reinforcement Learning Daniel Waelchli Pascal Weber Petros Koumoutsakos AI4CE 17 4 0 17 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 16 74 0 07 Apr 2023
Machine Learning for Partial Differential Equations Steven L. Brunton J. Nathan Kutz AI4CE 45 20 0 30 Mar 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
Challenges and opportunities for machine learning in multiscale computational modeling Phong C. H. Nguyen Joseph B. Choi H. Udaykumar Stephen Seung-Yeob Baek AI4CE 22 8 0 22 Mar 2023
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks Luca Pegolotti Martin R. Pfaller Natalia L. Rubio Ke Ding Rita Brugarolas Brufau Eric F. Darve Alison L. Marsden AI4CE 48 31 0 13 Mar 2023
Neural Partial Differential Equations with Functional Convolution Z. Wu Xingzhe He Yijun Li Cheng Yang Rui Liu S. Xiong Bo Zhu 23 1 0 10 Mar 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas Petros Koumoutsakos AI4TS AI4CE 18 7 0 22 Feb 2023
Convolutional autoencoder for the spatiotemporal latent representation of turbulence N. Doan A. Racca Luca Magri 16 2 0 31 Jan 2023
Learning the Dynamics of Sparsely Observed Interacting Systems Linus Bleistein Adeline Fermanian A. Jannot Agathe Guilloux 46 5 0 27 Jan 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 19 104 0 26 Jan 2023
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning Sebastian Peitz J. Stenner V. Chidananda Oliver Wallscheid Steven L. Brunton Kunihiko Taira AI4CE 21 18 0 25 Jan 2023
Emerging trends in machine learning for computational fluid dynamics Ricardo Vinuesa Steve Brunton AI4CE 24 14 0 28 Nov 2022
Utilising physics-guided deep learning to overcome data scarcity Jinshuai Bai Laith Alzubaidi Qingxia Wang E. Kuhl Bennamoun Yuantong T. Gu PINN AI4CE 36 3 0 24 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 49 0 14 Nov 2022
Simulation-Based Parallel Training Lucas Meyer Alejandro Ribés Bruno Raffin AI4CE 28 2 0 08 Nov 2022
Physics-Informed CNNs for Super-Resolution of Sparse Observations on Dynamical Systems Daniel Kelshaw Georgios Rigas Luca Magri AI4CE 37 17 0 31 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
Machine Learning vs. Deep Learning in 5G Networks -- A Comparison of Scientific Impact İlker Türker S. O. Tan 23 2 0 13 Oct 2022
Towards Learned Simulators for Cell Migration Koen Minartz Y. Poels Vlado Menkovski 37 1 0 02 Oct 2022
Evaluation of physics constrained data-driven methods for turbulence model uncertainty quantification M. Matha Karsten Kucharczyk C. Morsbach OOD AI4CE 9 10 0 29 Sep 2022
Learning swimming via deep reinforcement learning Jin Zhang Lei Zhou Bochao Cao 15 1 0 22 Sep 2022
Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields Niklas Schmitz Klaus-Robert Muller Stefan Chmiela AI4CE 21 11 0 25 Aug 2022
Physical Systems Modeled Without Physical Laws D. Noever Samuel Hyams AI4CE PINN 32 0 0 26 Jul 2022
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations Marius Kurz Philipp Offenhäuser Andrea Beck AI4CE 21 56 0 21 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 32 41 0 07 Jun 2022
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 42 140 0 26 May 2022
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems Marius Kurz Philipp Offenhäuser Dominic Viola Oleksandr Shcherbakov Michael M. Resch Andrea Beck AI4CE 38 22 0 13 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 35 84 0 13 Apr 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 27 56 0 08 Apr 2022
A data-driven approach for the closure of RANS models by the divergence of the Reynolds Stress Tensor S. Berrone Davide Oberto 19 16 0 31 Mar 2022
JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows Deniz A. Bezgin Aaron B. Buhendwa Nikolaus A. Adams AI4CE 13 67 0 25 Mar 2022
Predicting the temporal dynamics of turbulent channels through deep learning Giuseppe Borrelli L. Guastoni Hamidreza Eivazi P. Schlatter Ricardo Vinuesa AI4TS 22 17 0 02 Mar 2022
Comparative analysis of machine learning methods for active flow control F. Pino Lorenzo Schena Jean Rabault M. A. Mendez 26 43 0 23 Feb 2022