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Towards Physics-informed Deep Learning for Turbulent Flow Prediction

20 November 2019

Papers citing "Towards Physics-informed Deep Learning for Turbulent Flow Prediction"

46 / 96 papers shown

Title
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 133 97 0 01 Apr 2022
Investigation of Physics-Informed Deep Learning for the Prediction of Parametric, Three-Dimensional Flow Based on Boundary Data Philipp Heger Markus Full Daniel Hilger N. Hosters AI4CE 56 11 0 17 Mar 2022
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet Björn W. Schuller Ali Akman Yi-Fen Chang H. Coppock Alexander Gebhard Alexander Kathan Esther Rituerto-González Andreas Triantafyllopoulos Florian B. Pokorny 62 1 0 10 Mar 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 71 10 0 11 Feb 2022
AI Research Associate for Early-Stage Scientific Discovery M. Behandish J. Maxwell Johan de Kleer AI4CE 51 1 0 02 Feb 2022
Physical Design using Differentiable Learned Simulators Kelsey R. Allen Tatiana López-Guevara Kimberly L. Stachenfeld Alvaro Sanchez-Gonzalez Peter W. Battaglia Jessica B. Hamrick Tobias Pfaff AI4CE 95 46 0 01 Feb 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao Sun AI4CE 115 30 0 28 Jan 2022
Predicting Physics in Mesh-reduced Space with Temporal Attention Xu Han Han Gao Tobias Pfaff Jian-Xun Wang Liping Liu AI4CE 87 82 0 22 Jan 2022
Automated Dissipation Control for Turbulence Simulation with Shell Models Ann-Kathrin Dombrowski Klaus-Robert Muller W. Müller AI4CE 23 0 0 07 Jan 2022
Learned Coarse Models for Efficient Turbulence Simulation Kimberly L. Stachenfeld D. Fielding Dmitrii Kochkov M. Cranmer Tobias Pfaff Jonathan Godwin Can Cui S. Ho Peter W. Battaglia Alvaro Sanchez-Gonzalez AI4CE 117 84 0 31 Dec 2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) Tengchan Zeng Omid Semiari Walid Saad M. Bennis 65 3 0 26 Dec 2021
Latent Space Simulation for Carbon Capture Design Optimization Brian Bartoldson Rui Wang Yu-Hang Fu David Widemann Sam Nguyen J. Bao Zhijie Xu Brenda Ng 45 3 0 22 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 87 32 0 16 Dec 2021
Deep Surrogate for Direct Time Fluid Dynamics Lucas Meyer Louen Pottier Alejandro Ribés Bruno Raffin AI4CE 43 7 0 16 Dec 2021
Positional Encoding Augmented GAN for the Assessment of Wind Flow for Pedestrian Comfort in Urban Areas Henrik Hoiness Kristoffer Gjerde L. Oggiano K. E. Giljarhus M. Ruocco DiffM AI4CE 26 5 0 15 Dec 2021
Multiway Ensemble Kalman Filter Yu Wang Alfred Hero 56 1 0 08 Dec 2021
Factorized Fourier Neural Operators Alasdair Tran A. Mathews Lexing Xie Cheng Soon Ong AI4CE 91 164 0 27 Nov 2021
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process Chulin Wang K. Yeo Xiao Jin Andrés Codas L. Klein Bruce Elmegreen DiffM 82 12 0 08 Nov 2021
Physics-Informed Neural Operator for Learning Partial Differential Equations Zong-Yi Li Hongkai Zheng Nikola B. Kovachki David Jin Haoxuan Chen Burigede Liu Kamyar Azizzadenesheli Anima Anandkumar AI4CE 125 427 0 06 Nov 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 184 383 0 05 Oct 2021
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 58 99 0 05 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 97 42 0 05 Oct 2021
Neural Operator: Learning Maps Between Function Spaces Nikola B. Kovachki Zong-Yi Li Burigede Liu Kamyar Azizzadenesheli K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 168 453 0 19 Aug 2021
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets Octavi Obiols-Sales Abhinav Vishnu Nicholas Malaya Aparna Chandramowlishwaran AI4CE 76 25 0 17 Aug 2021
Physics-informed generative neural network: an application to troposphere temperature prediction Zhihao Chen Jie Gao Weikai Wang Zheng Yan AI4CE 67 18 0 08 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 96 69 0 02 Jul 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation Yuxin Yang Xitong Zhang Qiang Guan Youzuo Lin 64 15 0 22 Jun 2021
Deep learning for improved global precipitation in numerical weather prediction systems Manmeet Singh B. Kumar Suryachandra A. Rao S. Gill R. Chattopadhyay R. Nanjundiah D. Niyogi AI4Cl 45 13 0 20 Jun 2021
Scalars are universal: Equivariant machine learning, structured like classical physics Soledad Villar D. Hogg Kate Storey-Fisher Weichi Yao Ben Blum-Smith PINN AI4CE 79 136 0 11 Jun 2021
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo Qiang Liu Yuntian Chen Wenbo Hu Tian Tian Jun Zhu DiffM 110 4 0 02 Jun 2021
Connect the Dots: In Situ 4D Seismic Monitoring of CO2 Storage with Spatio-temporal CNNs Shihang Feng Xitong Zhang B. Wohlberg N. Symons Youzuo Lin 38 7 0 25 May 2021
Physics-informed neural networks (PINNs) for fluid mechanics: A review Shengze Cai Zhiping Mao Zhicheng Wang Minglang Yin George Karniadakis PINN AI4CE 96 1,213 0 20 May 2021
BubbleNet: Inferring micro-bubble dynamics with semi-physics-informed deep learning Hanfeng Zhai Quan Zhou G. Hu PINN AI4CE 41 16 0 15 May 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 94 101 0 26 Apr 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 138 35 0 20 Feb 2021
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey Nishant Kumar Martin Raubal AI4TS AI4CE 128 92 0 19 Feb 2021
Machine learning accelerated computational fluid dynamics Dmitrii Kochkov Jamie A. Smith Ayya Alieva Qing Wang M. Brenner Stephan Hoyer AI4CE 151 876 0 28 Jan 2021
Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems Rui Wang Danielle C. Maddix Christos Faloutsos Bernie Wang Rose Yu OOD AI4CE 53 53 0 20 Nov 2020
T $^2$ -Net: A Semi-supervised Deep Model for Turbulence Forecasting Denghui Zhang Yanchi Liu Wei Cheng Bo Zong Jingchao Ni Zhengzhang Chen Haifeng Chen Hui Xiong 24 1 0 26 Oct 2020
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 538 2,461 0 18 Oct 2020
Physical invariance in neural networks for subgrid-scale scalar flux modeling Hugo Frezat G. Balarac Julien Le Sommer Ronan Fablet Redouane Lguensat AI4CE 82 44 0 09 Oct 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 86 808 0 07 Oct 2020
Variational Autoencoding of PDE Inverse Problems Daniel J. Tait Theodoros Damoulas AI4CE 49 12 0 28 Jun 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework C. Jiang S. Esmaeilzadeh Kamyar Azizzadenesheli K. Kashinath Mustafa A. Mustafa H. Tchelepi P. Marcus P. Prabhat Anima Anandkumar AI4CE 253 141 0 01 May 2020
Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learning Ashesh Chattopadhyay Adam Subel Pedram Hassanzadeh BDL AI4CE 61 56 0 25 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 143 177 0 08 Feb 2020