SONets: Sub-operator learning enhanced neural networks for solving parametric partial differential equations-Reference-Cited by-同舟云学术

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SONets: Sub-operator learning enhanced neural networks for solving parametric partial differential equations

Published:2023-12 Issue: Volume:495 Page:112536
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Jin Xiaowei,Li Hui

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference37 articles.

1. Spectral/hp Element Methods for Computational Fluid Dynamics;Karniadakis,2013

2. Computational Methods for Fluid Dynamics;Ferziger,2020

3. Turbulence modeling in the age of data;Duraisamy;Annu. Rev. Fluid Mech.,2019

4. Machine learning for fluid mechanics;Brunton;Annu. Rev. Fluid Mech.,2020

5. Physics-informed neural networks (PINNs) for fluid mechanics: a review;Cai;Acta Mech. Sin.,2022

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