Work

Artificial Intelligence and Machine Learning in Thermodynamic Gas Hydrate Studies: A Review

Year: 2025

Type: article

Study design: Systematic Review

Source: Energy & Fuels

DOI: 10.1021/acs.energyfuels.5c02863

Authors: Mahmood Riyadh Atta, Akram Fadhl Al-Mahmodi, Bhajan Lal, Hakim Abdulrab, Siak Foo Khor

Institutions: Universiti Teknologi Petronas, Universiti Tunku Abdul Rahman, Lovely Professional University, Xiamen University Malaysia

Language: English

Topic: Methane Hydrates and Related Phenomena

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4414173771

FWCI: 2.612

Cites: 166

Cited by: 9

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