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Physics-informed learning of governing equations from scarce data

Physics-informed learning of governing equations from scarce data

5 May 2020
Zhao Chen
Yang Liu
Hao-Lun Sun
    PINN
    AI4CE
ArXivPDFHTML

Papers citing "Physics-informed learning of governing equations from scarce data"

24 / 24 papers shown
Title
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction
Han Wan
Qi Wang
Hao Sun
Hao Sun
AI4CE
57
1
0
13 Mar 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
Apivich Hemachandra
Gregory Kang Ruey Lau
S. Ng
Bryan Kian Hsiang Low
PINN
48
0
0
10 Mar 2025
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Data-Efficient Kernel Methods for Learning Differential Equations and Their Solution Operators: Algorithms and Error Analysis
Yasamin Jalalian
Juan Felipe Osorio Ramirez
Alexander W. Hsu
Bamdad Hosseini
H. Owhadi
43
0
0
02 Mar 2025
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks
Mouad Elaarabi
Domenico Borzacchiello
Yves Le Guennec
Philippe Le Bot
Sebastien Comas-Cardona
80
0
0
20 Jan 2025
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng
Qi Wang
M. Yan
Y. Liu
Ruizhi Chengze
Yi Zhang
Hongsheng Liu
Zidong Wang
Hao Sun
AI4CE
40
3
0
02 Oct 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen
Yi Ding
Hiroe Miyake
Xiaojun Li
39
0
0
27 Sep 2024
Data-Driven Discovery of PDEs via the Adjoint Method
Data-Driven Discovery of PDEs via the Adjoint Method
Mohsen Sadr
Tony Tohme
Kamal Youcef-Toumi
PINN
19
1
0
30 Jan 2024
Physics-informed Deep Learning to Solve Three-dimensional Terzaghi
  Consolidation Equation: Forward and Inverse Problems
Physics-informed Deep Learning to Solve Three-dimensional Terzaghi Consolidation Equation: Forward and Inverse Problems
Biao Yuan
Ana Heitor
He Wang
Xiaohui Chen
AI4CE
PINN
34
1
0
08 Jan 2024
Deciphering and integrating invariants for neural operator learning with
  various physical mechanisms
Deciphering and integrating invariants for neural operator learning with various physical mechanisms
Rui Zhang
Qi Meng
Zhi-Ming Ma
AI4CE
28
7
0
24 Nov 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for
  Machine Learning and Process-based Hydrology
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
20
10
0
08 Oct 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
Rui Zhang
Qi Meng
Rongchan Zhu
Yue Wang
Wenlei Shi
Shihua Zhang
Zhi-Ming Ma
Tie-Yan Liu
DiffM
AI4CE
51
4
0
10 Feb 2023
PDE-LEARN: Using Deep Learning to Discover Partial Differential
  Equations from Noisy, Limited Data
PDE-LEARN: Using Deep Learning to Discover Partial Differential Equations from Noisy, Limited Data
R. Stephany
Christopher Earls
16
16
0
09 Dec 2022
Physics-informed Neural Networks with Unknown Measurement Noise
Physics-informed Neural Networks with Unknown Measurement Noise
Philipp Pilar
Niklas Wahlström
PINN
23
6
0
28 Nov 2022
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Robustness of Physics-Informed Neural Networks to Noise in Sensor Data
Jian Cheng Wong
P. Chiu
C. Ooi
My Ha Da
32
3
0
22 Nov 2022
SeismicNet: Physics-informed neural networks for seismic wave modeling
  in semi-infinite domain
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
DISCOVER: Deep identification of symbolically concise open-form PDEs via
  enhanced reinforcement-learning
DISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning
Mengge Du
Yuntian Chen
Dong-juan Zhang
28
0
0
04 Oct 2022
A Priori Denoising Strategies for Sparse Identification of Nonlinear
  Dynamical Systems: A Comparative Study
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
A. Cortiella
K. Park
Alireza Doostan
9
15
0
29 Jan 2022
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded
  Learning
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
Discovery of interpretable structural model errors by combining Bayesian
  sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test
  case
Discovery of interpretable structural model errors by combining Bayesian sparse regression and data assimilation: A chaotic Kuramoto-Sivashinsky test case
R. Mojgani
A. Chattopadhyay
P. Hassanzadeh
19
15
0
01 Oct 2021
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for
  Dynamic Control
Physics-informed Dyna-Style Model-Based Deep Reinforcement Learning for Dynamic Control
Xin-Yang Liu
Jian-Xun Wang
AI4CE
23
38
0
31 Jul 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable
  domain decomposition approach for solving differential equations
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
45
209
0
16 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CE
PINN
39
64
0
02 Jul 2021
Revealing hidden dynamics from time-series data by ODENet
Revealing hidden dynamics from time-series data by ODENet
Pipi Hu
Wuyue Yang
Yi Zhu
L. Hong
AI4TS
24
35
0
11 May 2020
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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