دورية أكاديمية

Repurposing N-Doped Grape Marc for the Fabrication of Supercapacitors with Theoretical and Machine Learning Models

التفاصيل البيبلوغرافية
العنوان: Repurposing N-Doped Grape Marc for the Fabrication of Supercapacitors with Theoretical and Machine Learning Models
المؤلفون: Kethaki Wickramaarachchi, Manickam Minakshi, S. Assa Aravindh, Rukshima Dabare, Xiangpeng Gao, Zhong-Tao Jiang, Kok Wai Wong
المصدر: Nanomaterials, Vol 12, Iss 11, p 1847 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Chemistry
مصطلحات موضوعية: biomass carbon, winery waste, density functional theory, nitrogen doping, activating agent, energy storage, Chemistry, QD1-999
الوصف: Porous carbon derived from grape marc (GM) was synthesized via carbonization and chemical activation processes. Extrinsic nitrogen (N)-dopant in GM, activated by KOH, could render its potential use in supercapacitors effective. The effects of chemical activators such as potassium hydroxide (KOH) and zinc chloride (ZnCl2) were studied to compare their activating power toward the development of pore-forming mechanisms in a carbon electrode, making them beneficial for energy storage. GM carbon impregnated with KOH for activation (KAC), along with urea as the N-dopant (KACurea), exhibited better morphology, hierarchical pore structure, and larger surface area (1356 m2 g−1) than the GM carbon activated by ZnCl2 (ZnAC). Moreover, density functional theory (DFT) investigations showed that the presence of N-dopant on a graphite surface enhances the chemisorption of O adsorbates due to the enhanced charge-transfer mechanism. KACurea was tested in three aqueous electrolytes with different ions (LiOH, NaOH, and NaClO4), which delivered higher specific capacitance, with the NaOH electrolyte exhibiting 139 F g−1 at a 2 mA current rate. The NaOH with the alkaline cation Na+ offered the best capacitance among the electrolytes studied. A multilayer perceptron (MLP) model was employed to describe the effects of synthesis conditions and physicochemical and electrochemical parameters to predict the capacitance and power outputs. The proposed MLP showed higher accuracy, with an R2 of 0.98 for capacitance prediction.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2079-4991
Relation: https://www.mdpi.com/2079-4991/12/11/1847; https://doaj.org/toc/2079-4991
DOI: 10.3390/nano12111847
URL الوصول: https://doaj.org/article/bc73b85431d64b29b9e0856ac83cfb1a
رقم الأكسشن: edsdoj.bc73b85431d64b29b9e0856ac83cfb1a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20794991
DOI:10.3390/nano12111847