Work

A Comprehensive AI-Model for H2-Brine Interfacial Tension Prediction: Implications for Underground Hydrogen Storage

Year: 2025

Type: conference-paper

Source: Middle East Oil, Gas and Geosciences Show (MEOS GEO)

DOI: 10.2118/227033-ms

Author: Ahmed Farid Ibrahim

Institution: King Fahd University of Petroleum and Minerals

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W4414227141

FWCI: 5.224

Cites: 16

Cited by: 1

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