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Updated: May 11, 2026

Fabrication of Carbon-Based Ionic Electromechanically Active Soft Actuators
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機械学習による,水性対称超電容器のためのバイオマスベースの有孔炭素の設計

Manickam Minakshi1,2, Apsana Sharma1, Ferdous Sohel1

  • 1College of Science, Technology, Engineering & Mathematics, Murdoch University, Murdoch, 6150, Western Australia, Australia.

ChemPlusChem
|August 29, 2025
PubMed
まとめ

機械学習は,バイオマスから派生した多孔性炭素を用いて,スーパーコンデンサの性能を予測します. 最適な合成条件により,高特異容量が得られ,次世代のエネルギー貯蔵材料の設計に役立ちます.

キーワード:
バイオマス炭素ドーパントエネルギー機械学習貯蔵する

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