Item type |
文献 / Documents(1) |
公開日 |
2025-03-26 |
アクセス権 |
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アクセス権 |
open access |
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アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
出版社版DOI |
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関連識別子 |
https://doi.org/10.1039/d4ya00577e |
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関連名称 |
10.1039/d4ya00577e |
出版タイプ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
タイトル |
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タイトル |
A machine learning approach for estimating supercapacitor performance of graphene oxide nano-ring based electrode materials |
著者 |
Yogesh, Gaurav Kumar
Nandi, Debabrata
Yeetsorn, Rungsima
Wanchan, Waritnan
Devi, Chandni
Singh, Ravi Pratap
Vasistha, Aditya
Kumar, Mukesh
コインカー, パンカジ
Yadav, Kamlesh
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抄録 |
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内容記述 |
This work utilizes a novel approach leveraging the machine learning (ML) technique to predict the electrochemical supercapacitor performance of graphene oxide nano-rings (GONs) as electrode nanomaterials. Initially, the experimental procedure was carried out to synthesize GO via a modified Hummers method, followed by GONs preparation using the water-in-oil (W/O) emulsion technique. High-resolution transmission electron microscopy (HRTEM) analysis reveals the formation of a typical two-dimensional GO nanosheet and multilayer-GO nano-rings. The X-ray diffraction (XRD), Raman spectroscopy, X-ray photoelectron spectroscopy (XPS), and Brunauer–Emmett–Teller (BET) analysis results show that the GONs possess similar structural and surface chemistry properties as of GO, with a slight reduction in oxygenous functionalities, enhancing the capacitive behaviours through facile electron migration at the electrode surface. The electrochemical assessment of GO and GONs samples indicates outstanding specific capacitances of 164 F g−1 and 294 F g−1 at 1 mV s−1, showcasing capacitive retention of up to 63% and 60% after 2500 cycles. In addition, four different machine learning models were tested to estimate the role of electrochemical parameters in determining the specific capacitance of GONs. |
書誌情報 |
en : Energy Advances
巻 4,
号 1,
p. 119-139,
発行日 2024-12-05
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収録物ID |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
27531457 |
出版者 |
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出版者 |
The Royal Society of Chemistry |
権利情報 |
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権利情報 |
This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. |
EID |
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識別子 |
415394 |
言語 |
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言語 |
eng |