Predicting metal-organic frameworks as catalysts to fix carbon dioxide to cyclic carbonate by machine learning

Predicting metal-organic frameworks as catalysts to fix carbon dioxide to cyclic carbonate by machine learning

The process of discovering and developing new materials currently requires considerable effort, time, and expense. Machine learning (ML) algorithms can potentially provide quick and accurate methods for screening new materials. In the present work, the features of the metal organic frameworks (MOFs)...

Full description

Bibliographic Details
Main Authors: Shuyuan Li, Yunjiang Zhang, Yuxuan Hu, Bijin Wang, Shaorui Sun, Xinwu Yang, Hong He
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Journal of Materiomics
Subjects:
Machine learning
Metal-organic frameworks
Catalysts
CO2 fixation
Cyclic carbonate
Online Access:http://www.sciencedirect.com/science/article/pii/S2352847821000265

Internet

http://www.sciencedirect.com/science/article/pii/S2352847821000265

Similar Items