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SciANN: A Keras/Tensorflow wrapper for scientific computations and
  physics-informed deep learning using artificial neural networks

SciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks

11 May 2020
E. Haghighat
R. Juanes
    AI4CE
    PINN
ArXivPDFHTML

Papers citing "SciANN: A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks"

5 / 5 papers shown
Title
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning
  using Small Datasets
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Octavi Obiols-Sales
Abhinav Vishnu
Nicholas Malaya
Aparna Chandramowlishwaran
AI4CE
29
24
0
17 Aug 2021
The Old and the New: Can Physics-Informed Deep-Learning Replace
  Traditional Linear Solvers?
The Old and the New: Can Physics-Informed Deep-Learning Replace Traditional Linear Solvers?
Stefano Markidis
PINN
39
182
0
12 Mar 2021
Energy-based error bound of physics-informed neural network solutions in
  elasticity
Energy-based error bound of physics-informed neural network solutions in elasticity
Mengwu Guo
E. Haghighat
PINN
45
28
0
18 Oct 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
125
508
0
11 Mar 2020
A deep learning framework for solution and discovery in solid mechanics
A deep learning framework for solution and discovery in solid mechanics
E. Haghighat
M. Raissi
A. Moure
H. Gómez
R. Juanes
AI4CE
PINN
6
56
0
14 Feb 2020
1