Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives

Author:

Lu Xin-Yu12,Wu Hao-Ping3,Ma Hao12ORCID,Li Hui4,Li Jia5,Liu Yan-Ti12,Pan Zheng-Yan1,Xie Yi6,Wang Lei7ORCID,Ren Bin12ORCID,Liu Guo-Kun3ORCID

Affiliation:

1. State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials (iChEM), College of Chemistry and Chemical Engineering, Xiamen University, Xiamen 361005, P. R. China

2. Tan Kah Kee Innovation Laboratory, Xiamen 361005, P. R. China

3. State Key Laboratory of Marine Environmental Science, Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Center for Marine Environmental Chemistry & Toxicology, College of the Environment and Ecology, Xiamen University, Xiamen, Fujian 361102, P. R. China

4. Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen 361005, P. R. China

5. Institute of Artificial Intelligence, Xiamen University, Xiamen 361005, P. R. China

6. School of Informatics, Xiamen University, Xiamen 361005, P. R. China

7. Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, P. R. China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

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