Work

Advances, Applications, and Perspectives of Machine Learning Approaches in Predicting Gas Hydrate Phase Equilibrium

Year: 2024

Type: article

Source: Energy & Fuels

DOI: 10.1021/acs.energyfuels.4c04924

Authors: Haonan Li, Huiru Sun, Jing Chen, Bingbing Chen, Dongliang Zhong, Mingjun Yang

Institutions: Dalian University of Technology, Monash University, Chongqing University, State Key Laboratory of Coal Mine Disaster Dynamics and Control

Language: English

Topic: Methane Hydrates and Related Phenomena

Subfield: Environmental Chemistry

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation, Fundamental Research Funds for the Central Universities, Dalian Science and Technology Innovation Fund

Awards: G1289859246, G2771017586, G3013254355, G4111496434, G5808076058, G6239694628, G8990472915

OpenAlex ID: W4405137570

FWCI: 1.504

Cites: 140

Cited by: 12

Related to: 10