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Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance

Published Online: 2024-12-30

Authors

Hao, Shuyan

Xia, Ting

Zhang, Ruizhi

Guo, Meng
Funding

Funding for this research was provided by:

National Key Research and Development Program of China (2023YFB3003004)

Shandong Provincial Key Research and Development Program (2022CXGC020106)

Pilot Project for Integrated Innovation of Science, Education and Industry of Qilu University of Technology (2022JBZ01-01)
License Information

Text and Data Mining valid from 2024-12-30

Version of Record valid from 2024-12-30
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Article History

Received: 21 February 2024

Accepted: 6 November 2024

First Online: 30 December 2024

Declarations

:

: The authors declare no competing interests.

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