Machine Learning-Aided Design of Gold Core–Shell Nanocatalysts toward Enhanced and Selective Photooxygenation-Reference-Cited by-同舟云学术

Machine Learning-Aided Design of Gold Core–Shell Nanocatalysts toward Enhanced and Selective Photooxygenation

Published:2022-10-05 Issue:41 Volume:14 Page:46471-46480
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Tamtaji Mohsen¹^ORCID,Guo Xuyun²^ORCID,Tyagi Abhishek¹^ORCID,Galligan Patrick Ryan¹^ORCID,Liu Zhenjing¹^ORCID,Roxas Alexander¹^ORCID,Liu Hongwei¹^ORCID,Cai Yuting¹^ORCID,Wong Hoilun¹^ORCID,Zeng Lun³,Xie Jianbo³,Du Yucong³,Hu Zhigang⁴,Lu Dong⁵,Goddard William A.⁶^ORCID,Zhu Ye²,Luo Zhengtang¹^ORCID

Affiliation:

1. Department of Chemical and Biological Engineering, Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology, William Mong Institute of Nano Science and Technology, and Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong999077, P. R. China

2. Department of Applied Physics, Research Institute for Smart Energy, The Hong Kong Polytechnic University, Hong Kong, China

3. Guangzhou Baiyun Medical Adhesive Co. Ltd., Guangzhou, Guangdong510405, P. R. China

4. Silver Age Engineering Plastics (Dongguan) Co. Ltd., Dongguan, Guangdong523187, P. R. China

5. Guangzhou HKUST Fok Ying Tung Research Institute, Guangzhou, Guangdong511458, P. R. China

6. Materials and Process Simulation Center (MSC), MC 139-74, California Institute of Technology, Pasadena, California91125, United States

Funder

Guangdong Science and Technology Department

Research Grants Council, University Grants Committee

National Natural Science Foundation of China

Hong Kong Polytechnic University

?International science and technology cooperation projects? of Science and Technological Bureau of Guangzhou Huangpu District

IER foundation

Shenzhen Special Fund for Central Guiding the Local Science and Technology Development

Guangdong-Hong Kong-Macao Joint Laboratory for Intelligent Micro-Nano Optoelectronic Technology

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.2c11101

Reference70 articles.

1. Accelerated Design of Catalytic Water-Cleaning Nanomotors via Machine Learning

2. Exploring Two-Dimensional Materials Thermodynamic Stability via Machine Learning

3. Machine Learning Screening of Metal-Ion Battery Electrode Materials

4. Simulation guided design of silver nanostructures for plasmon-enhanced fluorescence, singlet oxygen generation and SERS applications

5. Machine Learning for Predicting the Surface Plasmon Resonance of Perfect and Concave Gold Nanocubes

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