A high resolution Physics-informed neural networks for high-dimensional convection–diffusion–reaction equations-Reference-Cited by-同舟云学术

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A high resolution Physics-informed neural networks for high-dimensional convection–diffusion–reaction equations

Published:2023-11 Issue: Volume:148 Page:110872
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Pan Jiangong,Xiao Xufeng^ORCID,Guo Lei,Feng Xinlong

Publisher

Elsevier BV

Subject

Software

Reference43 articles.

1. Deep learning;Yann;Nature,2015

2. A unified deep artificial neural network approach to partial differential equations in complex geometries;Berg;Neurocomputing,2018

3. A stabilized finite element method for advection-diffusion equations on surfaces;Olshanskii;IMA J. Numer. Anal.,2014

4. Higher-order surface FEM for incompressible Navier-Stokes flows on manifolds;Fries;Internat. J. Numer. Methods Fluids,2018

5. A finite element approach to incompressible two-phase flow on manifolds;Nitschke;J. Fluid Mech.,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Physics-informed neural networks for advection–diffusion–Langmuir adsorption processes;Physics of Fluids;2024-08-01

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