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Data-driven learning of robust nonlocal physics from high-fidelity
  synthetic data

Data-driven learning of robust nonlocal physics from high-fidelity synthetic data

17 May 2020
Huaiqian You
Yue Yu
Nathaniel Trask
Mamikon A. Gulian
M. DÉlia
ArXivPDFHTML

Papers citing "Data-driven learning of robust nonlocal physics from high-fidelity synthetic data"

3 / 3 papers shown
Title
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning
  Framework of Nonlocal Models with Uncertainty Quantification
Bayesian Nonlocal Operator Regression (BNOR): A Data-Driven Learning Framework of Nonlocal Models with Uncertainty Quantification
Yiming Fan
M. DÉlia
Yue Yu
H. Najm
Stewart Silling
19
3
0
06 Oct 2022
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for
  Metamaterial Modeling
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling
Lu Zhang
Huaiqian You
Yue Yu
OffRL
19
7
0
04 Jun 2022
Numerical Approximation of Partial Differential Equations by a Variable
  Projection Method with Artificial Neural Networks
Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks
S. Dong
Jielin Yang
34
17
0
24 Jan 2022
1