Predicting critical transitions with machine learning trained on surrogates of historical data.

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Title: Predicting critical transitions with machine learning trained on surrogates of historical data.
Authors: Ma, Zhiqin1 (AUTHOR), Zeng, Chunhua1 (AUTHOR) zchh2009@126.com, Zhang, Yi-Cheng2 (AUTHOR), Bury, Thomas M.3 (AUTHOR) thomas.bury@mcgill.ca
Source: Communications Physics. 6/19/2025, Vol. 8 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Communications+Physics%22">Communications Physics</searchLink>. 6/19/2025, Vol. 8 Issue 1, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=186016997
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      – Type: doi
        Value: 10.1038/s42005-025-02172-4
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      – Code: eng
        Text: English
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            NameFull: Zeng, Chunhua
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            NameFull: Zhang, Yi-Cheng
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              Text: 6/19/2025
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              Y: 2025
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