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2005.03448
Cited By
Physics-informed learning of governing equations from scarce data
5 May 2020
Zhao Chen
Yang Liu
Hao-Lun Sun
PINN
AI4CE
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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
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
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
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
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
Su Chen
Yi Ding
Hiroe Miyake
Xiaojun Li
39
0
0
27 Sep 2024
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
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
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
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
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
R. Stephany
Christopher Earls
16
16
0
09 Dec 2022
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
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
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
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. Cortiella
K. Park
Alireza Doostan
9
15
0
29 Jan 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
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
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
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
45
209
0
16 Jul 2021
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
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
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
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