Machine learning accelerated computational fluid dynamics

28 January 2021

Papers citing "Machine learning accelerated computational fluid dynamics"

50 / 152 papers shown

Title
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning Shivam Barwey Varun Shankar V. Viswanathan R. Maulik AI4CE 97 27 0 13 Feb 2023
A Denoising Diffusion Model for Fluid Field Prediction Gefan Yang Stefan Sommer DiffM AI4CE 78 28 0 27 Jan 2023
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows Kai Fukami K. Fukagata Kunihiko Taira AI4CE 81 110 0 26 Jan 2023
Evolve Smoothly, Fit Consistently: Learning Smooth Latent Dynamics For Advection-Dominated Systems Z. Y. Wan Leonardo Zepeda-Núñez Anudhyan Boral Fei Sha BDL AI4CE 98 13 0 25 Jan 2023
Solving Inverse Physics Problems with Score Matching Benjamin Holzschuh S. Vegetti Nils Thuerey DiffM 32 12 0 24 Jan 2023
Koopman neural operator as a mesh-free solver of non-linear partial differential equations Wei Xiong Xiaomeng Huang Ziyang Zhang Ruixuan Deng Pei Sun Yang Tian AI4CE 87 35 0 24 Jan 2023
Solving the Discretised Boltzmann Transport Equations using Neural Networks: Applications in Neutron Transport Toby R. F. Phillips Claire E. Heaney Boyang Chen A. Buchan Christopher C. Pain 61 5 0 24 Jan 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 110 15 0 10 Jan 2023
Guiding continuous operator learning through Physics-based boundary constraints Nadim Saad Gaurav Gupta S. Alizadeh Danielle C. Maddix AI4CE 127 22 0 14 Dec 2022
Operator inference with roll outs for learning reduced models from scarce and low-quality data W. I. Uy D. Hartmann Benjamin Peherstorfer AI4CE 69 15 0 02 Dec 2022
Emerging trends in machine learning for computational fluid dynamics Ricardo Vinuesa Steve Brunton AI4CE 74 17 0 28 Nov 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction Dule Shu Zijie Li A. Farimani DiffM AI4CE 94 150 0 26 Nov 2022
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 111 0 0 21 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 71 52 0 14 Nov 2022
Physics-informed inference of aerial animal movements from weather radar data Fiona Lippert Bart Kranstauber E. E. V. Loon Patrick Forré 55 1 0 08 Nov 2022
Simulation-Based Parallel Training Lucas Meyer Alejandro Ribés Bruno Raffin AI4CE 68 2 0 08 Nov 2022
MAgNET: A Graph U-Net Architecture for Mesh-Based Simulations Saurabh Deshpande Stéphane P. A. Bordas J. Lengiewicz AI4CE GNN 135 31 0 01 Nov 2022
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior J. Burge M. Bonanni R. Hu M. Ihme AI4CE 65 14 0 28 Oct 2022
Learning Modular Simulations for Homogeneous Systems Jayesh K. Gupta Sai H. Vemprala Ashish Kapoor 68 7 0 28 Oct 2022
Neuro-symbolic partial differential equation solver Pouria A. Mistani Samira Pakravan Rajesh Ilango S. Choudhry Frédéric Gibou 58 1 0 25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities Pouria A. Mistani Samira Pakravan Rajesh Ilango Frédéric Gibou 54 8 0 25 Oct 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids Rishikesh Ranade C. Hill Lalit Ghule Jay Pathak AI4CE 80 8 0 11 Oct 2022
Latent Neural ODEs with Sparse Bayesian Multiple Shooting V. Iakovlev Çağatay Yıldız Markus Heinonen Harri Lähdesmäki BDL 72 11 0 07 Oct 2022
MultiScale MeshGraphNets Meire Fortunato Tobias Pfaff Peter Wirnsberger Alexander Pritzel Peter W. Battaglia AI4CE 98 78 0 02 Oct 2022
Continuous PDE Dynamics Forecasting with Implicit Neural Representations Yuan Yin Matthieu Kirchmeyer Jean-Yves Franceschi A. Rakotomamonjy Patrick Gallinari AI4CE 94 53 0 29 Sep 2022
Differentiable physics-enabled closure modeling for Burgers' turbulence Varun Shankar V. Puri R. Balakrishnan R. Maulik V. Viswanathan AI4CE 48 16 0 23 Sep 2022
Clifford Neural Layers for PDE Modeling Johannes Brandstetter Rianne van den Berg Max Welling Jayesh K. Gupta AI4CE 127 90 0 08 Sep 2022
Differentiable Programming for Earth System Modeling Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 89 19 0 29 Aug 2022
Algorithmic Differentiation for Automated Modeling of Machine Learned Force Fields Niklas Schmitz Klaus-Robert Muller Stefan Chmiela AI4CE 73 11 0 25 Aug 2022
Deep convolutional surrogates and degrees of freedom in thermal design Hadi Keramati F. Hamdullahpur AI4CE 75 0 0 16 Aug 2022
A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems Hai V. Nguyen T. Bui-Thanh 66 2 0 09 Aug 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
Learning to correct spectral methods for simulating turbulent flows Gideon Dresdner Dmitrii Kochkov Peter C. Norgaard Leonardo Zepeda-Núñez Jamie A. Smith M. Brenner Stephan Hoyer AI4CE 88 62 0 01 Jul 2022
Deep Learning and Symbolic Regression for Discovering Parametric Equations Michael Zhang Samuel Kim Peter Y. Lu M. Soljavcić 72 21 0 01 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 77 22 0 30 Jun 2022
Studying Generalization Through Data Averaging C. Gomez-Uribe FedML 135 0 0 28 Jun 2022
Learning to Estimate and Refine Fluid Motion with Physical Dynamics Mingrui Zhang Jianhong Wang James Tlhomole M. Piggott 47 10 0 21 Jun 2022
LordNet: An Efficient Neural Network for Learning to Solve Parametric Partial Differential Equations without Simulated Data Xinquan Huang Wenlei Shi Xiaotian Gao Xinran Wei Jia Zhang Jiang Bian Mao Yang Tie-Yan Liu PINN 95 11 0 19 Jun 2022
Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator Tailin Wu Qinchen Wang Yinan Zhang Rex Ying Kaidi Cao Rok Sosivc Ridwan Jalali Hassan H. Hamam M. Maučec J. Leskovec PINN AI4CE 70 27 0 15 Jun 2022
Simple lessons from complex learning: what a neural network model learns about cosmic structure formation Drew Jamieson Yin Li Siyu He F. Villaescusa-Navarro S. Ho R. A. Oliveira D. Spergel 58 6 0 09 Jun 2022
Explaining the physics of transfer learning a data-driven subgrid-scale closure to a different turbulent flow Adam Subel Yifei Guan Ashesh Chattopadhyay Pedram Hassanzadeh AI4CE 59 43 0 07 Jun 2022
Flow Completion Network: Inferring the Fluid Dynamics from Incomplete Flow Information using Graph Neural Networks Xiaodong He Yinan Wang Juan Li GNN 48 22 0 10 May 2022
Multi-resolution partial differential equations preserved learning framework for spatiotemporal dynamics Xin-Yang Liu Min Zhu Lu Lu Hao Sun Jian-Xun Wang PINN AI4CE 111 51 0 09 May 2022
DropTrack -- automatic droplet tracking using deep learning for microfluidic applications M. Durve A. Tiribocchi F. Bonaccorso A. Montessori M. Lauricella Michał Bogdan J. Guzowski S. Succi VOT 81 19 0 05 May 2022
Learning Green's functions associated with time-dependent partial differential equations N. Boullé Seick Kim Tianyi Shi Alex Townsend AI4CE 99 26 0 27 Apr 2022
STONet: A Neural-Operator-Driven Spatio-temporal Network Haitao Lin Guojiang Zhao Lirong Wu Stan Z. Li AI4TS AI4CE 70 1 0 18 Apr 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 71 91 0 13 Apr 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 67 58 0 08 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 141 97 0 01 Apr 2022
Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators Ziyi Yin Ali Siahkoohi M. Louboutin Felix J. Herrmann 76 18 0 27 Mar 2022