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)...
| Main Authors: | , , , , , , |
|---|---|
| 格式: | 文件 |
| 语言: | English |
| 出版: |
Elsevier
2021-09-01
|
| 丛编: | Journal of Materiomics |
| 主题: | |
| 在线阅读: | http://www.sciencedirect.com/science/article/pii/S2352847821000265 |