Tailoring a sustainable energy storage device utilizing free-standing hierarchical design of multicomponent metal oxide nanosheet arrays for efficient hybrid supercapacitors

초록

Exploring heterostructured multimetal oxides holds incredible potential to greatly boost supercapacitor (SC) performance through the facile integration of two distinct materials. The performance characteristics of these sophisticated electrode materials exceed those of conventional single counterparts. Herein, we present a hierarchical NiMoO4/CoMoO4 (NM/CM-O) heterostructure with a well-defined nanosheet-array architecture (NSAs). This facile structure was grown on a nickel foam framework, enabling its use as a battery-type electrode material. The cohesive architecture of the resulting material allows it to function as a binder-free SC electrode, exhibiting markedly enhanced electrochemical performance. This design optimizes the density of redox-active sites, enhances interfacial charge-transfer efficiency, and minimizes ion-diffusion distances. Furthermore, pronounced synergistic interactions between the two components, together with the involvement of multivalent ions, enhance electrochemical performance. Interestingly, the NM/CM-O heterostructure NSAs, functioning as a binder-free electrode, exhibit an impressive specific capacity of 704C/g at 1 A/g, surpassing that of the individual constituent electrodes. Moreover, a hybrid SC (HSC) was constructed using NM/CM-O and activated carbon (AC) as the positrode and negatrode, respectively. This NM/CM-O//AC HSC demonstrated impressive performance, achieving a power density of 20.3 kW/kg and an energy density of 76.4 Wh/kg. Notably, it exhibited excellent durability, experiencing only a 6.9% capacitance loss after enduring 20,000 charge/discharge cycles. The proposed investigation into the engineering of a multi-redox-active-site heterostructure is expected to enable substantial advances in renewable energy technologies. © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

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