journal article·2022-09-28

Tremella-like 2D Nickel–Copper Disulfide with Ultrahigh Capacity and Cyclic Retention for Hybrid Supercapacitors

Xi Zhu, Shuangyi Liu

ACS Applied Materials & Interfaces· Volume 14· Issue 38
Publisher page

Abstract

Two-dimensional (2D) disulfides possess unique physical and chemical properties and are widely used in electronic and photoelectric devices. Tuning the composition and optimizing the structure of the disulfides are feasible approaches to designing target sulfides for hybrid supercapacitors. This work synthesizes the tremella-like nanosheet-connected (Cu x Ni 1– x )S 2 via solvothermal and sulfur-vapor vulcanization. The 2D (Cu x Ni 1– x )S 2 electrode performs a high reversible capacity (526.0 mA h g –1 at 1 A g –1 ), decent capacity retention (75.6%) at 10 A g –1, and prolonged cyclic retention (94.4% over 15,000 cycles), which is higher than that of (Cu x Ni 1– x )O and monometallic sulfides of NiS 2 and CuS. The elevated electrochemical properties of (Cu x Ni 1– x )S 2 are attributed to the optimized composition with increased redox reaction, enlarged lattice distance, abundant active sites, and attractive electronic and ionic conductivity. Also, (Cu x Ni 1– x )S 2 and active carbon (AC) are assembled to form a hybrid supercapacitor (HSC). The (Cu x Ni 1– x )S 2 //AC HSC demonstrates a maximum specific capacitance of 231.0 F g –1 at 1 A g –1 and a high energy density of 82.4 W h kg –1 at a power density of 1.82 kW kg –1 . Outstanding cyclic retentions of 94.9 and 84.5% after 8000 and 10,000 cycles are also obtained. In conclusion, this result suggests a facile routine for preparing a novel 2D layer material of (Cu x Ni 1– x )S 2 with outstanding specific capacity and cycling performance for hybrid supercapacitors.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Supercapacitor Materials and Fabrication · MXene and MAX Phase Materials · Advanced battery technologies research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, Chongqing 400700, China

Funding

National Natural Science Foundation of China

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