Compositional dependence of the alignment of three-dimensionally macroporous architectures assembled by two-dimensional hybrid nanosheets

• Hierarchically structured hybrid nanosheets are assembled by ice-template method.
• The alignment of pore networking is dependent on the composition of MoS2.
• The randomly networked GMfs-16 shows the best capacity of 1362 mAh g−1.
• The GMfs-16 shows an excellent cycling capability of 86.4% after 100 cycles.
• The synergistic performance originates from 3D architecture and hybrid composition.

The composition and pore alignment of three-dimensional (3D) internetworked materials may be a critical parameter for determining the electrochemical properties, but it has yet to be explored. Herein, hierarchically structured reduced graphene oxide (rGO)/MoS2 frameworks (GMfs), as lithium ion batteries (LIB) electrode, are assembled via an ice-templating process on a basis of the interaction between 2D MoS2 and 2D rGO. The morphology and chemical structure of GMfs are investigated by various microscopic and spectroscopic methods and their alignment is dependent on the compositional variations. The as-obtained GMfs exhibit randomly networked and crumpled morphology, achieving the enhanced electrochemical performances for LIB anodes due to the redox-active MoS2 deposited on the 3D macroporous internetworks. The GMfs with 16% MoS2 (GMfs-16) shows high discharge capacity of 1362 mAh g−1 at the specific current of 100 mA g−1 along with a reasonable rate capability of 53.4% from 50 to 1000 mA g−1 and good cycle capability of 86.4% after 100 charge/discharge cycles. It is concluded that for the case of the randomly networked GMfs-16 composites, MoS2 is the key active component to lithium ions storage, while rGO is the skeleton to improve conductivity and maintain the structural stability for MoS2 nanosheets.

Figure optionsDownload as PowerPoint slide