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Spatio-Temporal Super-Resolution of Dynamical Systems using
  Physics-Informed Deep-Learning

Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning

8 December 2022
Rajat Arora
Ankit Shrivastava
    AI4CE
ArXivPDFHTML

Papers citing "Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning"

5 / 5 papers shown
Title
A Deep Learning Framework for Solving Hyperbolic Partial Differential
  Equations: Part I
A Deep Learning Framework for Solving Hyperbolic Partial Differential Equations: Part I
Rajat Arora
PINN
AI4CE
22
1
0
09 Jul 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINN
AI4CE
34
29
0
29 May 2023
PhySRNet: Physics informed super-resolution network for application in
  computational solid mechanics
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics
Rajat Arora
AI4CE
22
10
0
30 Jun 2022
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time
  Super-Resolution Framework
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
C. Jiang
S. Esmaeilzadeh
Kamyar Azizzadenesheli
K. Kashinath
Mustafa A. Mustafa
H. Tchelepi
P. Marcus
P. Prabhat
Anima Anandkumar
AI4CE
187
141
0
01 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
1