Work

Machine Learning-Based Design of Ionic Liquids at the Atomic Scale for Highly Efficient CO2 Capture

Year: 2023

Type: article

Source: ACS Sustainable Chemistry & Engineering

DOI: 10.1021/acssuschemeng.3c01191

Authors: Xiangyang Liu, Jianchun Chu, Shaoxuan Huang, An Li, Shuanlai Wang, Maogang He

Institution: Xi'an Jiaotong University

Language: English

Topic: Ionic liquids properties and applications

Subfield: Catalysis

Field: Chemical Engineering

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shaanxi Province

Awards: G682025931, G887944034

OpenAlex ID: W4378977377

FWCI: 1.261

Cites: 50

Cited by: 27

Related to: 10