Work

Modeling High-Pressure Hydrogen Gas Leakages With Graph Neural Networks

Year: 2024

Type: article

Source: Journal of energy resources technology.

DOI: 10.1115/1.4067273

Authors: Davide Cerbarano, Lorenzo Tieghi, Giovanni Delibra, Stefano Minotti, Alessandro Corsini

Institutions: Genotoul coordination, Sapienza University of Rome, University of Trento, Baker Hughes (United States)

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4404740608

FWCI: 0.887

Cites: 54

Cited by: 6

Related to: 10