Large-Scale Screening and Machine Learning to Predict the Computation-Ready, Experimental Metal-Organic Frameworks for CO<sub>2</sub> Capture from Air

Large-Scale Screening and Machine Learning to Predict the Computation-Ready, Experimental Metal-Organic Frameworks for CO<sub>2</sub> Capture from Air

The rising level of CO<sub>2</sub> in the atmosphere has attracted attention in recent years. The technique of capturing CO<sub>2</sub> from higher CO<sub>2</sub> concentrations, such as power plants, has been widely studied, but capturing lower concentrations of...

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Bibliographic Details
Main Authors: Xiaomei Deng, Wenyuan Yang, Shuhua Li, Hong Liang, Zenan Shi, Zhiwei Qiao
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Applied Sciences
Subjects:
co<sub>2</sub> capture
monte carlo
machine learning
metal–organic framework
adsorption
diffusion
Online Access:https://www.mdpi.com/2076-3417/10/2/569

Internet

https://www.mdpi.com/2076-3417/10/2/569

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