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A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes.

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Title: A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes.
Authors: Gao, Yu‐Chen1 (AUTHOR), Yuan, Yu‐Hang1 (AUTHOR), Huang, Suozhi2 (AUTHOR), Yao, Nan1 (AUTHOR), Yu, Legeng1 (AUTHOR), Chen, Yao‐Peng1 (AUTHOR), Zhang, Qiang1 (AUTHOR), Chen, Xiang1 (AUTHOR) xiangchen@mail.tsinghua.edu.cn
Source: Angewandte Chemie International Edition. 1/21/2025, Vol. 64 Issue 4, p1-12. 12p.
Database: Academic Search Ultimate
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An: 183600680
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  Data: A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes.
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  Data: <searchLink fieldCode="JN" term="%22Angewandte+Chemie+International+Edition%22">Angewandte Chemie International Edition</searchLink>. 1/21/2025, Vol. 64 Issue 4, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=183600680
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        Value: 10.1002/anie.202416506
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        Text: English
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      – TitleFull: A Knowledge–Data Dual‐Driven Framework for Predicting the Molecular Properties of Rechargeable Battery Electrolytes.
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              Text: 1/21/2025
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