Molecular-fingerprint machine-learning-assisted design and prediction for high-performance MOFs for the capture of NMHCs from air-Reference-Cited by-同舟云学术

Molecular-fingerprint machine-learning-assisted design and prediction for high-performance MOFs for the capture of NMHCs from air

Published:2021-12 Issue: Volume: Page:
ISSN:2772-834X
Container-title:Advanced Powder Materials
language:en
Short-container-title:Advanced Powder Materials

Author:

Yuan Xueying,Li Lifeng,Shi Zenan,Liang Hong,Li Shuhua,Qiao Zhiwei

Funder

Guangdong Provincial Pearl River Talents Program

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Guangzhou Municipal Science and Technology Project

Publisher

Elsevier BV

Reference62 articles.

1. The Red Sea Deep Water is a potent source of atmospheric ethane and propane;Bourtsoukidis;Nat. Commun.,2020

2. Non-methane hydrocarbon (NMHC) fingerprints of major urban and agricultural emission sources for use in source apportionment studies Atoms;Kumar;Chem. Phys.,2020

3. A case study on the characterization of non-methane hydrocarbons over the South China Sea: Implication of land-sea air exchange Sci;Song;Total Environ,2020

4. Sources of non-methane hydrocarbons in surface air in Delhi;Stewart;India Faraday discuss,2021

5. State of the Art and Prospects in Metal-Organic Framework (MOF)-Based and MOF-Derived Nanocatalysis;Wang;Chem. Rev.,2020

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