123rd General Meeting of the KCS

Type Poster Presentation
Area Electrochemistry
Room No. Exhibition Hall 2
Time 4월 18일 (목요일) 11:00~12:30
Code ELEC.P-478
Subject In situ growth of polyaniline nanowires on interconnected porous carbon nanosheets for high-performance supercapacitors
Authors Xuanzhen Jin, Yuanzhe Piao*
Graduate School of Convergence Science and Technol, Seoul National University, Korea
Abstract Many kinds of conducting polymers have been extensively studied as electrode materials for pseudocapacitors. Among them, polyaniline (PANI) possesses high theoretical specific capacitance and is light weight and inexpensive. However, poor cycle stability of PANI restricts its real applications in commercial supercapacitors. Preparation of nano-PANI composited with nanostructured carbon materials such as activated carbon, carbon nanotubes and graphene is one of efficacious strategies to improve the electrode performance. Recently, 3D interconnected porous carbon (IPC) materials obtained directly from pyrolysis of potassium citrate salt were considered as promising new carbon substrates for energy devices. In this work, 3D IPC/PANI nanocomposites were prepared via a simple in situ growth of vertically aligned PANI nanowires arrays on IPC. The nanocomposites show excellent specific capacitance of 512 F·g-1 at a discharge current density of 1 A·g-1. In addition, the as-assembled asymmetric supercapacitor based on the nanocomposites also exhibits good capacitive properties and long-term cycling stability of 91% after 3000 cycles at 5 A·g-1. The improved electrochemical performance of IPC/PANI is attributed to three factors: (1) highly interconnected 3D porous structure of the PC substrate which is beneficial for fast ion diffusion and shortening the transport distance of electrolyte ions in the charge/discharge processes; (2) stable IPC template of the composites which prevents swelling and shrinkage of PANI during the electrochemical redox processes; (3) ordered nanowire arrays of PANI which provide more active sites than random structured PANI.
E-mail hyanjeam@snu.ac.kr