Work

Accelerated discovery of porous materials for carbon capture by machine learning: A review

Year: 2022

Type: article

Source: MRS Bulletin

DOI: 10.1557/s43577-022-00317-2

Authors: Chi Zhang, Yunchao Xie, Chen Xie, Hongxing Dong, Long Zhang, Jian Lin

Institutions: University of Chinese Academy of Sciences, University of Missouri, Chinese Academy of Sciences, Shanghai Institute of Optics and Fine Mechanics

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

Funders: University of Missouri, National Natural Science Foundation of China, National Science Foundation of Sri Lanka

Awards: G145527497, G207118652, G2991462133, G7466193557

OpenAlex ID: W4282572994

FWCI: 1.266

Cites: 60

Cited by: 20

Related to: 10