کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6472768 1424136 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
High-performance supercapacitor of macroscopic graphene hydrogels by partial reduction and nitrogen doping of graphene oxide
ترجمه فارسی عنوان
ابررسانای با کارایی بالا از هیدروژل های گرافن ماکروسکوپی با کاهش جزئی و دوپینگ نیتروژن اکسید گرافین
کلمات کلیدی
گرافین، هیدروژل، کاهش جزئی، نیتروژن و اکسیژن حاوی، ابرخازنها،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی مهندسی شیمی (عمومی)
چکیده انگلیسی


- The 3D macroscopic graphene hydrogels (MGHs) were synthesized by hydrothermal method.
- Combined effect of nitrogen- and oxygen-containing functional Groups in MGHs.
- The MGHs exhibits good rate capability and cycling stability.

In this work, the 3D macroscopic graphene hydrogels (MGHs) with a high capacitor performance were easily prepared by a one-step hydrothermal method from graphene oxide (GO) dispersions. A very small amount of 1,4-butanediamine was employed to realize the partial reduction of GO, modification of the 3D structure of MGHs, and nitrogen doping of graphene, at the same time. The synthesized MGH-6 sample in the wet state exhibit a high specific capacitance of 268.8 Fg−1 at 0.3 A g−1 in 6 M KOH electrolyte, and this capacitance can be maintained for 84.9% even as the discharging current density was increased up to 10 A g−1. The MGH-6 sample also shows good cycle stability along with a 1.03% increase of its initial specific capacitance after 10000 cycles at current density of 10 Ag−1. These remarkable properties are ascribed to the both nitrogen- and oxygen-containing functional groups, modified macroporous 3D framework, and the high specific surface area of the graphene. Combining with the economical and easy path toward mass production, the present MGH-6 can be expected as a promising candidate for high-performance supercapacitors.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electrochimica Acta - Volume 221, 10 December 2016, Pages 167-176
نویسندگان
, , , , , ,