Work

Insight to the prediction of CO2 solubility in ionic liquids based on the interpretable machine learning model

Year: 2024

Type: article

Source: Chemical Engineering Science

DOI: 10.1016/j.ces.2024.120266

Authors: Ao Yang, Shirui Sun, Yang Su, Zong Yang Kong, Jingzheng Ren, Weifeng Shen

Institutions: Chongqing University of Science and Technology, Yangtze Normal University, Sunway University, Hong Kong Polytechnic University, Chongqing University

Language: English

Topic: Ionic liquids properties and applications

Subfield: Physical and Theoretical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4397289092

FWCI: 7.917

Cites: 36

Cited by: 58

Related to: 10