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An unsupervised latent/output physics-informed convolutional-LSTM
  network for solving partial differential equations using peridynamic
  differential operator

An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator

21 October 2022
A. Mavi
A. Bekar
E. Haghighat
E. Madenci
ArXivPDFHTML

Papers citing "An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator"

3 / 3 papers shown
Title
Parallel Physics-Informed Neural Networks via Domain Decomposition
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
90
214
0
20 Apr 2021
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
126
435
0
18 Dec 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
198
7,816
0
13 Jun 2015
1