Machine-Learning Prediction of CO Adsorption in Thiolated, Ag-Alloyed Au Nanoclusters-Reference-Cited by-同舟云学术

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Machine-Learning Prediction of CO Adsorption in Thiolated, Ag-Alloyed Au Nanoclusters

Published:2018-11-08 Issue:50 Volume:140 Page:17508-17514
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Panapitiya Gihan¹^ORCID,Avendaño-Franco Guillermo¹^ORCID,Ren Pengju²³^ORCID,Wen Xiaodong²³^ORCID,Li Yongwang²³,Lewis James P.¹²^ORCID

Affiliation:

1. Department of Physics and Astronomy, West Virginia University, Morgantown, West Virginia 26506-6315, United States

2. State Key Laboratory of Coal Conversion, Institute of Coal Chemistry, Chinese Academy of Sciences, Taiyuan, Shanxi 030001, China

3. Synfuels China Co. Ltd., Huairou, Beijing 101407, China

Funder

China Postdoctoral Science Foundation

U.S. Department of Energy

National Natural Science Foundation of China

Chinese Academy of Sciences

Central Committee of the Communist Party of China

Synfuels China, Co. Ltd.

Shanxi Province

Publisher

American Chemical Society (ACS)

Subject

Colloid and Surface Chemistry,Biochemistry,General Chemistry,Catalysis

Link

https://pubs.acs.org/doi/pdf/10.1021/jacs.8b08800

Reference52 articles.

1. Efficient and selective epoxidation of styrene with TBHP catalyzed by Au25clusters on hydroxyapatite

2. CO Oxidation Catalyzed by Oxide-Supported Au25(SR)18 Nanoclusters and Identification of Perimeter Sites as Active Centers

3. Gold Nanocluster-Catalyzed Semihydrogenation: A Unique Activation Pathway for Terminal Alkynes

4. Catalytic CO Oxidation Using Bimetallic MxAu25–x Clusters: A Combined Experimental and Computational Study on Doping Effects

5. Extremely High Stability of Glutathionate-Protected Au25 Clusters Against Core Etching

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