論文 Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors

Manickam Minakshi ORCID ; Apsana Sharma ; Ferdous Sohel ; Almantas Pivrikas ORCID ; Pragati A. Shinde ORCID ; Katsuhiko Ariga SAMURAI ORCID ; Lok Kumar Shrestha SAMURAI ORCID

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引用
Manickam Minakshi, Apsana Sharma, Ferdous Sohel, Almantas Pivrikas, Pragati A. Shinde, Katsuhiko Ariga, Lok Kumar Shrestha. Machine Learning—Guided Design of Biomass‐Based Porous Carbon for Aqueous Symmetric Supercapacitors. ChemPlusChem. 2025, 90 (10), e202500342. https://doi.org/10.1002/cplu.202500342

説明:

(abstract)

In this study, we employ a machine learning (ML) approach to analyze experimental data from previously reported sources, enabling the prediction of specific capacitance (F/g) based on various material characteristics and processing conditions. The trained ML model evaluates the influence of factors such as biomass type, electrolyte, activating agent, and key synthesis parameters, including activation and carbonization temperatures and durations, on supercapacitor performance.

権利情報:

キーワード: biomass, carbon, dopant, energy, machine learning, storage

刊行年月日: 2025-10-09

出版者: Wiley

掲載誌:

  • ChemPlusChem (ISSN: 21926506) vol. 90 issue. 10 e202500342

研究助成金:

  • Japan Society for the Promotion of Science JP20H00392
  • Japan Society for the Promotion of Science JP23H05459

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1002/cplu.202500342

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更新時刻: 2025-10-21 16:06:10 +0900

MDRでの公開時刻: 2025-10-21 15:43:24 +0900

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