Issue 40, 2024

Controllable construction of a 3D-honeycomb-like porous carbon network as a high-performance cathode for promoting Zn-ion storage capability

Abstract

Inheriting the energy storage mechanism of supercapacitors and rechargeable ion batteries, zinc ion capacitors (ZICs) greatly increase their energy density at high power without sacrificing their life span. However, sluggish kinetics and insufficient active sites for Zn2+ storage induced by the significant mismatch of charge carriers with limited pore size hinder the efficient Zn2+ storage and smooth application of carbonaceous cathode materials. Herein, a three-dimensional honeycomb-like porous carbon network (HPCN) was fabricated, which can reduce the diffusion barrier for fast kinetics, produce a high-density defect area, effectively increase active sites for charge storage, and generate a high nitrogen-doping content. Benefiting from these advantages, the optimized ZICs bring out a marvelous energy/power density (130 W h kg−1/11.7 kW kg−1) with an ultrahigh reliable cyclability of 97.8% after 50 000 cycles at a high current density of 5 A g−1. Importantly, systematic ex situ characterizations combined with theoretical calculations demonstrate that the outstanding Zn2+ storage capacity is attributed to the synergistic effect of physical co-adsorption of cations and reversible chemisorption. This work presents an attractive strategy for developing advanced carbon cathodes with suitable pores and accelerates the exploration of charge storage mechanisms, which may open a new avenue for practical supercapacitors.

Graphical abstract: Controllable construction of a 3D-honeycomb-like porous carbon network as a high-performance cathode for promoting Zn-ion storage capability

Supplementary files

Article information

Article type
Paper
Submitted
22 Jul 2024
Accepted
09 Sep 2024
First published
11 Sep 2024

Nanoscale, 2024,16, 19086-19099

Controllable construction of a 3D-honeycomb-like porous carbon network as a high-performance cathode for promoting Zn-ion storage capability

Q. Li, T. Wang, T. Shu, X. Pan and Y. Tao, Nanoscale, 2024, 16, 19086 DOI: 10.1039/D4NR03032J

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