MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework

1 May 2020

C. Jiang

S. Esmaeilzadeh

Kamyar Azizzadenesheli

Papers citing "MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework"

21 / 21 papers shown

Title
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 53 0 0 28 Apr 2025
Neural Network Emulator for Atmospheric Chemical ODE Zhi-Song Liu Petri S. Clusius Michael Boy 38 3 0 03 Aug 2024
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 43 5 0 01 Nov 2023
Latent assimilation with implicit neural representations for unknown dynamics Zhuoyuan Li Bin Dong Pingwen Zhang AI4CE 22 3 0 18 Sep 2023
Multi-variable Hard Physical Constraints for Climate Model Downscaling Jose González-Abad Álex Hernández-García P. Harder David Rolnick José Manuel Gutiérrez AI4Cl 26 3 0 02 Aug 2023
SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning Pu Ren N. Benjamin Erichson Shashank Subramanian Omer San Z. Lukić Michael W. Mahoney Michael W. Mahoney 36 13 0 24 Jun 2023
Physics-Informed Computer Vision: A Review and Perspectives C. Banerjee Kien Nguyen Clinton Fookes G. Karniadakis PINN AI4CE 34 28 0 29 May 2023
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain Pu Ren Chengping Rao Su Chen Jian-Xun Wang Hao-Lun Sun Yang Liu 44 41 0 25 Oct 2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs Songming Liu Zhongkai Hao Chengyang Ying Hang Su Jun Zhu Ze Cheng AI4CE 10 17 0 06 Oct 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 22 10 0 30 Jun 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 36 55 0 31 Mar 2022
Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations Benwei Wu O. Hennigh Jan Kautz S. Choudhry Wonmin Byeon MLAU AI4CE 4 10 0 24 Feb 2022
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks Y. Yasuda R. Onishi 17 5 0 22 Feb 2022
AtmoDist: Self-supervised Representation Learning for Atmospheric Dynamics Sebastian Hoffmann C. Lessig AI4Cl 24 8 0 02 Feb 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning Chengping Rao Pu Ren Yang Liu Hao-Lun Sun AI4CE 43 26 0 28 Jan 2022
Machine Learning-Accelerated Computational Solid Mechanics: Application to Linear Elasticity Rajat Arora AI4CE 19 7 0 16 Dec 2021
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 46 613 0 22 Nov 2021
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers? Stefano Markidis PINN 33 182 0 12 Mar 2021
Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models Chulin Wang E. Bentivegna Wang Zhou L. Klein Bruce Elmegreen DiffM 11 32 0 04 Nov 2020
Multipole Graph 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 15 371 0 16 Jun 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 237 558 0 19 Mar 2020