Screening Environmentally Benign Ionic Liquids for CO<sub>2</sub> Absorption Using Representation Uncertainty-Based Machine Learning-Reference-Cited by-同舟云学术

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Screening Environmentally Benign Ionic Liquids for CO₂ Absorption Using Representation Uncertainty-Based Machine Learning

Published:2024-09-10 Issue: Volume: Page:
ISSN:2328-8930
Container-title:Environmental Science & Technology Letters
language:en
Short-container-title:Environ. Sci. Technol. Lett.

Author:

Zhong Shifa¹^ORCID,Chen Yushan²,Li Jibai¹,Igou Thomas²,Xiong Anyue³,Guan Jian¹,Dai Zhenhua¹,Cai Xuanying¹,Qu Xintong¹,Chen Yongsheng²^ORCID

Affiliation:

1. Department of Environmental Science, Institute of Eco-Chongming, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, P. R. China

2. School of Civil & Environmental Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States

3. Fort Richmond Collegiate, Winnipeg, MB R3T 3B3, Canada

Funder

Division of Civil, Mechanical and Manufacturing Innovation

National Natural Science Foundation of China

National Science Foundation

U.S. Department of Agriculture

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.estlett.4c00524

Reference54 articles.

1. Climate change and the ecologist

2. Advanced Amine Solvent Formulations and Process Integration for Near-Term CO2 Capture Success

3. Heat of Absorption of Carbon Dioxide (CO2) in Monoethanolamine (MEA) and 2-(Aminoethyl)ethanolamine (AEEA) Solutions

4. Amine Scrubbing for CO 2 Capture

5. Ionic Liquids for CO2 Capture and Emission Reduction

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