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Data-driven learning of nonlocal models: from high-fidelity simulations
  to constitutive laws

Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws

8 December 2020
Huaiqian You
Yue Yu
Stewart Silling
M. DÉlia
ArXivPDFHTML

Papers citing "Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws"

2 / 2 papers shown
Title
Data-driven learning of robust nonlocal physics from high-fidelity
  synthetic data
Data-driven learning of robust nonlocal physics from high-fidelity synthetic data
Huaiqian You
Yue Yu
Nathaniel Trask
Mamikon A. Gulian
M. DÉlia
34
35
0
17 May 2020
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized
  nonlocal universal Laplacian operator. Algorithms and Applications
nPINNs: nonlocal Physics-Informed Neural Networks for a parametrized nonlocal universal Laplacian operator. Algorithms and Applications
G. Pang
M. DÉlia
M. Parks
George Karniadakis
PINN
35
151
0
08 Apr 2020
1