Machine learning accelerated computational fluid dynamics

28 January 2021

Papers citing "Machine learning accelerated computational fluid dynamics"

48 / 298 papers shown

Title
Generalizing to New Physical Systems via Context-Informed Dynamics Model Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 22 32 0 01 Feb 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao-Lun Sun AI4CE 33 26 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 11 72 0 22 Jan 2022
Automated Dissipation Control for Turbulence Simulation with Shell Models Ann-Kathrin Dombrowski Klaus-Robert Muller W. Müller AI4CE 16 0 0 07 Jan 2022
Classifying Turbulent Environments via Machine Learning M. Buzzicotti F. Bonaccorso 13 0 0 03 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 27 77 0 31 Dec 2021
Data-Driven Computational Methods for the Domain of Attraction and Zubov's Equation W. Kang Kai Sun Liang Xu 11 13 0 29 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 9 3 0 26 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 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 13 23 0 16 Dec 2021
Factorized Fourier Neural Operators Alasdair Tran A. Mathews Lexing Xie Cheng Soon Ong AI4CE 26 141 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 25 18 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 8 0 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 23 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 22 15 0 10 Nov 2021
Gradients are Not All You Need Luke Metz C. Freeman S. Schoenholz Tal Kachman 28 92 0 10 Nov 2021
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 14 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 60 377 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 24 13 0 04 Nov 2021
Deep Generative Models in Engineering Design: A Review Lyle Regenwetter A. Nobari Faez Ahmed 3DV AI4CE 24 175 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 41 6 0 07 Oct 2021
Enhancing Computational Fluid Dynamics with Machine Learning Ricardo Vinuesa Steven L. Brunton AI4CE 98 355 0 05 Oct 2021
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 37 95 0 05 Oct 2021
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 124 200 0 28 Sep 2021
Learning Transport Processes with Machine Intelligence F. Miniati G. Gregori AI4CE 6 3 0 27 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 19 19 0 20 Sep 2021
DeepPhysics: a physics aware deep learning framework for real-time simulation Alban Odot Ryadh Haferssas S. Cotin PINN AI4CE 16 27 0 17 Sep 2021
Differentiable Physics: A Position Piece Bharath Ramsundar Dilip Krishnamurthy V. Viswanathan PINN AI4CE 32 14 0 14 Sep 2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils Li-Wei Chen Nils Thuerey AI4CE 26 9 0 05 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 H. Menze AI4CE 22 1 0 03 Sep 2021
Neural Fixed-Point Acceleration for Convex Optimization Shobha Venkataraman Brandon Amos 38 13 0 21 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 28 64 0 02 Jul 2021
Lettuce: PyTorch-based Lattice Boltzmann Framework M. Bedrunka D. Wilde Martin L. Kliemank D. Reith H. Foysi Andreas Krämer AI4CE 8 13 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 13 8 0 14 Jun 2021
WAX-ML: A Python library for machine learning and feedback loops on streaming data Emmanuel Sérié KELM AI4CE 10 0 0 11 Jun 2021
Long-time integration of parametric evolution equations with physics-informed DeepONets Sifan Wang P. Perdikaris AI4CE 17 117 0 09 Jun 2021
Encoding physics to learn reaction-diffusion processes Chengping Rao Pu Ren Qi Wang O. Buyukozturk Haoqin Sun Yang Liu PINN AI4CE DiffM 25 77 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 45 4 0 02 Jun 2021
PDE-constrained Models with Neural Network Terms: Optimization and Global Convergence Justin A. Sirignano J. MacArt K. Spiliopoulos PINN AI4CE 13 26 0 18 May 2021
Finite volume method network for acceleration of unsteady computational fluid dynamics: non-reacting and reacting flows J. Jeon Juhyeong Lee S. J. Kim 11 27 0 07 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 38 99 0 26 Apr 2021
Geometry encoding for numerical simulations Amir Maleki J. Heyse Rishikesh Ranade Haiyang He Priya Kasimbeg Jay Pathak 3DV AI4CE 27 2 0 15 Apr 2021
A Latent space solver for PDE generalization Rishikesh Ranade C. Hill Haiyang He Amir Maleki Jay Pathak AI4CE 6 4 0 06 Apr 2021
Deep Learning of Conjugate Mappings J. Bramburger S. Patterson J. Nathan Kutz 13 15 0 01 Apr 2021
Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets Sifan Wang Hanwen Wang P. Perdikaris AI4CE 15 659 0 19 Mar 2021
Modern Koopman Theory for Dynamical Systems Steven L. Brunton M. Budišić E. Kaiser J. Nathan Kutz AI4CE 16 388 0 24 Feb 2021
Variational Data Assimilation with a Learned Inverse Observation Operator Thomas Frerix Dmitrii Kochkov Jamie A. Smith Daniel Cremers M. Brenner Stephan Hoyer 20 28 0 22 Feb 2021
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 203 2,281 0 18 Oct 2020