Work

A rapid method for composition tracking in hydrogen-blended pipeline using Fourier neural operator

Year: 2024

Type: article

Source: Physics of Fluids

DOI: 10.1063/5.0235781

Authors: Junhua Gong, Guoyun Shi, Ziying Fan, Bo Yu, Yujie Chen, Bin Chen, Jingfa Li, Bohong Wang, Zongze Li, Weixin Jiang, Petar Sabev Varbanov

Institutions: State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Beijing Institute of Petrochemical Technology, China Petroleum Pipeline Engineering (China), Zhejiang Ocean University, Beijing University of Technology, Brno University of 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: National Natural Science Foundation of China, National Key Research and Development Program of China, National Major Science and Technology Projects of China

Awards: G1648353634, G6395488768, G984632368, G989448872

OpenAlex ID: W4404256629

FWCI: 0.445

Cites: 38

Cited by: 3

Related to: 10