Quantitatively Determining Surface–Adsorbate Properties from Vibrational Spectroscopy with Interpretable Machine Learning-Reference-Cited by-同舟云学术

Quantitatively Determining Surface–Adsorbate Properties from Vibrational Spectroscopy with Interpretable Machine Learning

Published:2022-08-24 Issue:35 Volume:144 Page:16069-16076
ISSN:0002-7863
Container-title:Journal of the American Chemical Society
language:en
Short-container-title:J. Am. Chem. Soc.

Author:

Wang Xijun¹^ORCID,Jiang Shuang¹,Hu Wei²^ORCID,Ye Sheng¹³,Wang Tairan¹,Wu Fan¹^ORCID,Yang Li¹,Li Xiyu¹,Zhang Guozhen¹^ORCID,Chen Xin⁴,Jiang Jun¹⁵^ORCID,Luo Yi¹⁵

Affiliation:

1. Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei 230026, China

2. School of Chemistry and Chemical Engineering, Qilu University of Technology (Shandong Academy of Science), Jinan 250353, China

3. School of Artificial Intelligence, Anhui University, Hefei 230601, China

4. GuSu Laboratory of Materials, Suzhou 215123, China

5. Hefei National Laboratory, University of Science and Technology of China, Hefei 230088, China

Funder

Ministry of Science and Technology of the People's Republic of China

Taishan Scholar Foundation of Shandong Province

National Natural Science Foundation of China

Chinese Academy of Sciences

Innovation Program for Quantum Science and Technology

Publisher

American Chemical Society (ACS)