Work

Physics-informed neural networks with domain decomposition for the incompressible Navier–Stokes equations

Year: 2024

Type: article

Source: Physics of Fluids

DOI: 10.1063/5.0188830

Authors: Linyan Gu, Shanlin Qin, Lei Xu, Rongliang Chen

Institutions: Sun Yat-sen University, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: closed

Funders: Natural Science Foundation of Shenzhen City, National Natural Science Foundation of China, Shenzhen Fundamental Research Program, Changsha Science and Technology Project

Awards: G1325573750, G1816333617, G1894136533, G4276480396, G6047713680, 面向非结构网格的高可扩展异构并行区域分解算法研究, G7215065582, G866387088, G8979941063

OpenAlex ID: W4392246147

FWCI: 8.897

Cites: 42

Cited by: 60

Related to: 10