Phase field smoothing-PINN: A neural network solver for partial differential equations with discontinuous coefficients-Reference-Cited by-同舟云学术

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Phase field smoothing-PINN: A neural network solver for partial differential equations with discontinuous coefficients

Published:2024-10 Issue: Volume:171 Page:188-203
ISSN:0898-1221
Container-title:Computers & Mathematics with Applications
language:en
Short-container-title:Computers & Mathematics with Applications

Author:

He Rui,Chen Yanfu,Yang Zihao,Huang Jizu,Guan Xiaofei

Funder

Natural Science Foundation of Shaanxi Province

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Chongqing Municipality

Chinese Academy of Sciences

Publisher

Elsevier BV

Reference68 articles.

1. Micromechanical model of linear viscoelastic particle-reinforced composites with interphase;Chen;Appl. Math. Model.,2021

2. A viscoelastic model for particle-reinforced composites in finite deformations;Chen;Appl. Math. Model.,2019

3. The 2-Lagrange multiplier method applied to nonlinear transmission problems for the Richards equation in heterogeneous soil with cross points;Berninger;SIAM J. Sci. Comput.,2014

4. Review of numerical solution of Richardson-Richards equation for variably saturated flow in soils;Zha;Wiley Interdiscip. Rev. Water,2019

5. Scattering of high-frequency seismic waves caused by irregular surface topography and small-scale velocity inhomogeneity;Takemura;Geophys. J. Int.,2015

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