Machine learning accelerated computational fluid dynamics

28 January 2021

Papers citing "Machine learning accelerated computational fluid dynamics"

50 / 152 papers shown

Title
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 74 72 0 25 Mar 2022
Half-Inverse Gradients for Physical Deep Learning Patrick Schnell Philipp Holl Nils Thuerey 57 8 0 18 Mar 2022
SocialVAE: Human Trajectory Prediction using Timewise Latents Pei Xu J. Hayet Ioannis Karamouzas 103 94 0 15 Mar 2022
Respecting causality is all you need for training physics-informed neural networks Sizhuang He Shyam Sankaran P. Perdikaris PINN CML AI4CE 154 203 0 14 Mar 2022
Neural Galerkin Schemes with Active Learning for High-Dimensional Evolution Equations Joan Bruna Benjamin Peherstorfer Eric Vanden-Eijnden 103 69 0 02 Mar 2022
Learning the nonlinear dynamics of soft mechanical metamaterials with graph networks Tianju Xue S. Adriaenssens S. Mao AI4CE 63 27 0 24 Feb 2022
Lie Point Symmetry Data Augmentation for Neural PDE Solvers Johannes Brandstetter Max Welling Daniel E. Worrall AI4CE 100 64 0 15 Feb 2022
Forecasting Global Weather with Graph Neural Networks R. Keisler AI4Cl 127 173 0 15 Feb 2022
Machine Learning in Aerodynamic Shape Optimization Ji-chao Li Xiaosong Du J. Martins AI4CE 93 195 0 15 Feb 2022
Applications of Machine Learning to Lattice Quantum Field Theory D. Boyda Salvatore Cali Sam Foreman L. Funcke D. Hackett ... Gert Aarts A. Alexandru Xiao-Yong Jin B. Lucini P. Shanahan AI4CE 74 19 0 10 Feb 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems Ying Zhou Xiang Chen Peng Zhang Jun Wang Lei Wang Hongfeng Guo 88 1 0 10 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 97 46 0 01 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 162 37 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 91 83 0 22 Jan 2022
Automated Dissipation Control for Turbulence Simulation with Shell Models Ann-Kathrin Dombrowski Klaus-Robert Muller W. Müller AI4CE 28 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 119 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
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 87 32 0 16 Dec 2021
Large Scale Distributed Linear Algebra With Tensor Processing Units Adam G. M. Lewis J. Beall M. Ganahl M. Hauru Shrestha Basu Mallick G. Vidal 61 23 0 16 Dec 2021
Factorized Fourier Neural Operators Alasdair Tran A. Mathews Lexing Xie Cheng Soon Ong AI4CE 101 164 0 27 Nov 2021
Composing Partial Differential Equations with Physics-Aware Neural Networks Matthias Karlbauer T. Praditia S. Otte S. Oladyshkin Wolfgang Nowak Martin Volker Butz AI4CE 92 20 0 23 Nov 2021
Resistance-Time Co-Modulated PointNet for Temporal Super-Resolution Simulation of Blood Vessel Flows Zhizheng Jiang Fei Gao Renshu Gu Jinlan Xu Gang Xu Timon Rabczuk 3DPC 32 1 0 19 Nov 2021
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 81 2 0 12 Nov 2021
Physics-enhanced deep surrogates for partial differential equations R. Pestourie Youssef Mroueh Chris Rackauckas Payel Das Steven G. Johnson PINN AI4CE 59 15 0 10 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 107 93 0 10 Nov 2021
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 54 8 0 09 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 135 429 0 06 Nov 2021
Model-assisted deep learning of rare extreme events from partial observations Anna Asch Ethan Brady Hugo Gallardo John Hood Bryan Chu M. Farazmand 68 13 0 04 Nov 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter Amin Heyrani Nobari Faez Ahmed 3DV AI4CE 136 192 0 21 Oct 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 71 6 0 07 Oct 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 184 385 0 05 Oct 2021
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 63 100 0 05 Oct 2021
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 204 220 0 28 Sep 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network Ekhi Ajuria Illarramendi M. Bauerheim B. Cuenot 89 21 0 20 Sep 2021
DeepPhysics: a physics aware deep learning framework for real-time simulation Alban Odot Ryadh Haferssas S. Cotin PINN AI4CE 52 28 0 17 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 70 16 0 14 Sep 2021
Semi-Implicit Neural Solver for Time-dependent Partial Differential Equations Suprosanna Shit Ivan Ezhov Leon Mächler R. Abinav Jana Lipkova Johannes C. Paetzold Florian Kofler Marie Piraud Bjoern Menze AI4CE 122 1 0 03 Sep 2021
Neural Fixed-Point Acceleration for Convex Optimization Shobha Venkataraman Brandon Amos 92 14 0 21 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 115 69 0 02 Jul 2021
Lettuce: PyTorch-based Lattice Boltzmann Framework M. Bedrunka D. Wilde Martin L. Kliemank D. Reith H. Foysi Andreas Krämer AI4CE 43 17 0 24 Jun 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling Niv Giladi Z. Ben-Haim Sella Nevo Yossi Matias Daniel Soudry AI4CE 54 9 0 14 Jun 2021
Long-time integration of parametric evolution equations with physics-informed DeepONets Sizhuang He P. Perdikaris AI4CE 89 122 0 09 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 113 4 0 02 Jun 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 98 101 0 26 Apr 2021
Geometry encoding for numerical simulations Amir Maleki J. Heyse Rishikesh Ranade Haiyang He Priya Kasimbeg Jay Pathak 3DV AI4CE 101 2 0 15 Apr 2021
A Latent space solver for PDE generalization Rishikesh Ranade C. Hill Haiyang He Amir Maleki Jay Pathak AI4CE 82 4 0 06 Apr 2021
Deep Learning of Conjugate Mappings J. Bramburger S. Patterson J. Nathan Kutz 75 15 0 01 Apr 2021
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets Sizhuang He Hanwen Wang P. Perdikaris AI4CE 104 717 0 19 Mar 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 156 423 0 24 Feb 2021