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SHoP: A Deep Learning Framework for Solving High-order Partial
  Differential Equations

SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations

17 May 2023
Tingxiong Xiao
Runzhao Yang
Yuxiao Cheng
J. Suo
Qionghai Dai
    AI4CE
ArXivPDFHTML

Papers citing "SHoP: A Deep Learning Framework for Solving High-order Partial Differential Equations"

2 / 2 papers shown
Title
HOPE: High-order Polynomial Expansion of Black-box Neural Networks
HOPE: High-order Polynomial Expansion of Black-box Neural Networks
Tingxiong Xiao
Weihang Zhang
Yuxiao Cheng
J. Suo
34
2
0
17 Jul 2023
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable
  domain decomposition approach for solving differential equations
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
48
210
0
16 Jul 2021
1