CO2

Haochen Shen1, Bin Jiang1, Xiaodong Yang1

  • 1School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.

まとめ

本研究では、CO2電気化学還元における分子制御を理解するための、解釈可能な機械学習定量的構造活性相関(ML-QSAR)フレームワークを導入する。これは、多炭素生成を促進する「電子スポンジ」メカニズムを明らかにするものである。

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