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Yuan, Zhangli

Yan, Wenqian

Wang, Ruoyao

Yin, Shanshan

Pang, Chongchen

Ren, Xinyuan

Duan, Wenchang

Torhola, Mika

Förger, Klaus

Kujanen, Henna

Zhang, Yixin

Chen, Haoyan

Shi, Hui

Lou, Yuqing

Li, Hao

He, Guang

Shi, Yi

Funding for this research was provided by:

National Key Research and Development Program (2022YFE0125300, 2024YFC2707002)

National Key Research and Development Program (2022YFE0125300, 2024YFC2707002)

National Key Research and Development Program (2022YFE0125300, 2024YFC2707002)

Innovation Program of Shanghai Municipal Education Commission (2023ZKZD16)

Shanghai Municipal Science and Technology Major Project (2017SHZDZX01, 20JC1418600)

Shanghai Leading Academic Discipline Project (B205)

Key Technology Breakthrough Program of Ningbo Sci-Tech Innovation YONGJIANG 2035 (2024Z221)

Shanghai Jiao Tong University STAR Grant (YG2025QNA46, YG2023ZD26, YG2022ZD024, YG2022QN111, YG2023LC14, YG2024QNA59)

Shanghai Jiao Tong University STAR Grant (YG2025QNA46, YG2023ZD26, YG2022ZD024, YG2022QN111, YG2023LC14, YG2024QNA59)

Text and Data Mining valid from 2026-01-20

Accepted Manuscript valid from 2026-01-20