Automatic Machine Learning Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks for Capture of Methanol and Ethanol from the Air-Reference-Cited by-同舟云学术

Automatic Machine Learning Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks for Capture of Methanol and Ethanol from the Air

Published:2023-07-03 Issue:1 Volume:4 Page:115-127
ISSN:2690-0645
Container-title:ACS ES&T Engineering
language:en
Short-container-title:ACS EST Eng.

Author:

Zhang Lulu¹,Huang Qiuhong¹,Li Lifeng¹,Yan Yaling¹,Yuan XueYing¹,Liang Hong¹,Li Shuhua¹,Wang Bangfen¹,Qiao Zhiwei¹²^ORCID

Affiliation:

1. Guangzhou Key Laboratory for New Energy and Green Catalysis, School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China

2. Joint Institute of Guangzhou University & Institute of Corrosion Science and Technology, Guangzhou University, Guangzhou 510006, China

Funder

Guangzhou University

Guangzhou Municipal Science and Technology Bureau

Guangdong Provincial Pearl River Talents Program

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Institute of Corrosion Science and Technology, Guangzhou University

Publisher

American Chemical Society (ACS)

Subject

Chemical Health and Safety,Process Chemistry and Technology,Environmental Chemistry,Chemical Engineering (miscellaneous)