Precise prediction of methane–ethane adsorption in shale nanopores using multi-component models and machine learning
Year: 2024
Type: article
Source: Physics of Fluids
DOI: 10.1063/5.0225527
Language: English
Subfield: Mechanics of Materials
Field: Engineering
Domain: Physical Sciences
SDG: Climate action
Open Access status: closed
Awards: G3562104879, G6812144759
OpenAlex ID: W4402682598
