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Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.

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Title: Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.
Authors: Hu, Zhongbao1,2 (AUTHOR), Wang, Zhoukun1 (AUTHOR), Peng, Yunyi1 (AUTHOR), Gao, Zhen1 (AUTHOR), Jin, Chanyuan3 (AUTHOR) jinchanyuanjcy@bjmu.edu.cn, Zhuang, Zechao1 (AUTHOR) zhuangzc@xmu.edu.cn, Li, Jian-Feng1 (AUTHOR)
Source: Communications Chemistry. 3/24/2026, Vol. 9 Issue 1, p1-23. 23p.
Database: Academic Search Ultimate
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An: 192481496
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  Data: Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.
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  Data: <searchLink fieldCode="JN" term="%22Communications+Chemistry%22">Communications Chemistry</searchLink>. 3/24/2026, Vol. 9 Issue 1, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192481496
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1038/s42004-026-01967-y
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      – Code: eng
        Text: English
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      – TitleFull: Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.
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            NameFull: Hu, Zhongbao
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            NameFull: Wang, Zhoukun
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            NameFull: Peng, Yunyi
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            NameFull: Jin, Chanyuan
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            NameFull: Zhuang, Zechao
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            – D: 24
              M: 03
              Text: 3/24/2026
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              Y: 2026
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            – TitleFull: Communications Chemistry
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