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Huang, Li https://orcid.org/0000-0002-5964-7090

Kong, Xianghua https://orcid.org/0000-0003-4381-4955

Zheng, Qi https://orcid.org/0000-0002-8946-536X

Xing, Yuqing

Chen, Hui https://orcid.org/0000-0002-3369-8113

Li, Yan

Hu, Zhixin https://orcid.org/0000-0002-3253-6964

Zhu, Shiyu https://orcid.org/0000-0002-8771-5273

Qiao, Jingsi https://orcid.org/0000-0001-6464-5500

Zhang, Yu-Yang https://orcid.org/0000-0002-9548-0021

Cheng, Haixia

Cheng, Zhihai https://orcid.org/0000-0003-4938-4490

Qiu, Xianggang

Liu, Enke https://orcid.org/0000-0002-5498-993X

Lei, Hechang https://orcid.org/0000-0003-0850-8514

Lin, Xiao

Wang, Ziqiang

Yang, Haitao https://orcid.org/0000-0003-4304-9835

Ji, Wei https://orcid.org/0000-0001-5249-6624

Gao, Hong-Jun https://orcid.org/0000-0001-9323-1307

Funding for this research was provided by:

Ministry of Science and Technology of the People’s Republic of China (2019YFA0308500, 2018YFA0305800, 2018YFA0305800, 2018YFE0202700)

National Natural Science Foundation of China (61888102, 12104313, 61761166009, 11974422)

Chinese Academy of Sciences (XDB30000000, YSBR-003, XDB30000000, YSBR-003, YSBR-003)

Guangdong Science and Technology Department (2021QN02L820)

the Shenzhen Natural Science Fund

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

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

DOE | SC | Basic Energy Sciences (DE-FG02-99ER45747)

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

the Fundamental Research Funds for the Central Universities of China and the Research Funds of Renmin University of China

Text and Data Mining valid from 2023-08-26

Version of Record valid from 2023-08-26