Machine Learning-Guided Design of Biomass-Based Porous Carbon for Aqueous Symmetric Supercapacitors.

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Bibliographic Details
Title: Machine Learning-Guided Design of Biomass-Based Porous Carbon for Aqueous Symmetric Supercapacitors.
Authors: Minakshi M; College of Science, Technology, Engineering & Mathematics, Murdoch University, Murdoch, 6150, Western Australia, Australia.; Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), Tsukuba, 305 0044, Japan., Sharma A; College of Science, Technology, Engineering & Mathematics, Murdoch University, Murdoch, 6150, Western Australia, Australia., Sohel F; College of Science, Technology, Engineering & Mathematics, Murdoch University, Murdoch, 6150, Western Australia, Australia., Pivrikas A; College of Science, Technology, Engineering & Mathematics, Murdoch University, Murdoch, 6150, Western Australia, Australia., Shinde PA; Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), Tsukuba, 305 0044, Japan., Ariga K; Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), Tsukuba, 305 0044, Japan.; Department of Advanced Materials Science, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, 277-8561, Chiba, Japan., Shrestha LK; Research Center for Materials Nanoarchitectonics (MANA), National Institute for Materials Science (NIMS), Tsukuba, 305 0044, Japan.; Department of Materials Science, Institute of Pure and Applied Sciences, University of Tsukuba, 1-1 Tennodai, Tsukuba, 305-8573, Ibaraki, Japan.
Source: ChemPlusChem [Chempluschem] 2025 Oct 09; Vol. 90 (10), pp. e202500342. Date of Electronic Publication: 2025 Aug 29.
Publication Type: Journal Article
Journal Info: Publisher: Wiley-VCH Country of Publication: Germany NLM ID: 101580948 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2192-6506 (Electronic) Linking ISSN: 21926506 NLM ISO Abbreviation: Chempluschem Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2192-6506
DOI:10.1002/cplu.202500342