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Transfer learning enhanced physics informed neural network for
  phase-field modeling of fracture

Transfer learning enhanced physics informed neural network for phase-field modeling of fracture

4 July 2019
S. Goswami
C. Anitescu
S. Chakraborty
Timon Rabczuk
    PINN
ArXivPDFHTML

Papers citing "Transfer learning enhanced physics informed neural network for phase-field modeling of fracture"

7 / 7 papers shown
Title
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep
  Auto-Regressive Networks
Modeling the Dynamics of PDE Systems with Physics-Constrained Deep Auto-Regressive Networks
N. Geneva
N. Zabaras
AI4CE
59
275
0
13 Jun 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate
  Modeling and Uncertainty Quantification without Labeled Data
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data
Yinhao Zhu
N. Zabaras
P. Koutsourelakis
P. Perdikaris
PINN
AI4CE
104
867
0
18 Jan 2019
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework
  for Assimilating Flow Visualization Data
Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data
M. Raissi
A. Yazdani
George Karniadakis
AI4CE
PINN
81
160
0
13 Aug 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial
  Differential Equations
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
M. Raissi
PINN
AI4CE
115
754
0
20 Jan 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
86
613
0
28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
75
924
0
28 Nov 2017
The Deep Ritz method: A deep learning-based numerical algorithm for
  solving variational problems
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
E. Weinan
Ting Yu
119
1,387
0
30 Sep 2017
1