Na3V2O2(PO4)2F/graphene sandwich structure for high-performance cathode of a sodium-ion battery

文献情報

出版日 2013-06-19

DOI 10.1039/C3CP52408F

インパクトファクター 3.676

著者

Long Wang, Xin Zhao, Jie Song, Hui Xie, Yuhao Lu, John B. Goodenough

原文を見る

要旨

A Na3V2O2(PO4)2F/reduced-graphene-oxide (RGO) sandwich structure has been synthesized by a facile one-step solvothermal method. Cubic Na3V2O2(PO4)2F nanoparticles are homogeneously trapped between conductive RGO sheets during its growth and assembled into a compact sandwich structure, which allows the electrically insulating Na3V2O2(PO4)2F nanoparticles to be wired up to a current collector through the underlying graphene conducting layers. As a sodium-insertion cathode material, the structure exhibits a high reversible capacity of 120 mA h g−1 at a discharge rate of C/20 with a capacity retention of 100.4 mA h g−1 at 1 C and an excellent cyclic retention of 91.4% after the 200th cycle at C/10. These results highlight the importance of anchoring Na3V2O2(PO4)2F on a conducting scaffold for maximum utilization of the electrochemically active Na3V2O2(PO4)2F particles in a high-performance sodium-ion battery.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.